mirror of
https://github.com/willmiao/ComfyUI-Lora-Manager.git
synced 2026-03-24 06:32:12 -03:00
Add name pattern filtering to LoRA Pool node allowing users to filter LoRAs by filename or model name using either plain text or regex patterns. Features: - Include patterns: only show LoRAs matching at least one pattern - Exclude patterns: exclude LoRAs matching any pattern - Regex toggle: switch between substring and regex matching - Case-insensitive matching for both modes - Invalid regex automatically falls back to substring matching - Filters apply to both file_name and model_name fields Backend: - Update LoraPoolLM._default_config() with namePatterns structure - Add name pattern filtering to _apply_pool_filters() and _apply_specific_filters() - Add API parameter parsing for name_pattern_include/exclude/use_regex - Update LoraPoolConfig type with namePatterns field Frontend: - Add NamePatternsSection.vue component with pattern input UI - Update useLoraPoolState to manage pattern state and API integration - Update LoraPoolSummaryView to display NamePatternsSection - Increase LORA_POOL_WIDGET_MIN_HEIGHT to accommodate new UI Tests: - Add 7 test cases covering text/regex include, exclude, combined filtering, model name fallback, and invalid regex handling Closes #839
604 lines
18 KiB
TypeScript
604 lines
18 KiB
TypeScript
import { createApp, type App as VueApp } from 'vue'
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import PrimeVue from 'primevue/config'
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import LoraPoolWidget from '@/components/LoraPoolWidget.vue'
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import LoraRandomizerWidget from '@/components/LoraRandomizerWidget.vue'
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import LoraCyclerWidget from '@/components/LoraCyclerWidget.vue'
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import JsonDisplayWidget from '@/components/JsonDisplayWidget.vue'
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import AutocompleteTextWidget from '@/components/AutocompleteTextWidget.vue'
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import type { LoraPoolConfig, RandomizerConfig, CyclerConfig } from './composables/types'
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import {
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setupModeChangeHandler,
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createModeChangeCallback,
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LORA_PROVIDER_NODE_TYPES
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} from './mode-change-handler'
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const LORA_POOL_WIDGET_MIN_WIDTH = 500
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const LORA_POOL_WIDGET_MIN_HEIGHT = 520
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const LORA_RANDOMIZER_WIDGET_MIN_WIDTH = 500
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const LORA_RANDOMIZER_WIDGET_MIN_HEIGHT = 448
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const LORA_RANDOMIZER_WIDGET_MAX_HEIGHT = LORA_RANDOMIZER_WIDGET_MIN_HEIGHT
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const LORA_CYCLER_WIDGET_MIN_WIDTH = 380
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const LORA_CYCLER_WIDGET_MIN_HEIGHT = 344
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const LORA_CYCLER_WIDGET_MAX_HEIGHT = LORA_CYCLER_WIDGET_MIN_HEIGHT
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const JSON_DISPLAY_WIDGET_MIN_WIDTH = 300
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const JSON_DISPLAY_WIDGET_MIN_HEIGHT = 200
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const AUTOCOMPLETE_TEXT_WIDGET_MIN_HEIGHT = 60
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const AUTOCOMPLETE_TEXT_WIDGET_MAX_HEIGHT = 100
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// @ts-ignore - ComfyUI external module
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import { app } from '../../../scripts/app.js'
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// @ts-ignore - ComfyUI external module
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import { api } from '../../../scripts/api.js'
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// @ts-ignore
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import { getPoolConfigFromConnectedNode, getActiveLorasFromNode, updateConnectedTriggerWords, updateDownstreamLoaders } from '../../web/comfyui/utils.js'
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function forwardMiddleMouseToCanvas(container: HTMLElement) {
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if (!container) return
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container.addEventListener('pointerdown', (event) => {
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if (event.button === 1) {
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const canvas = app.canvas
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if (canvas && typeof canvas.processMouseDown === 'function') {
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canvas.processMouseDown(event)
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}
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}
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})
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container.addEventListener('pointermove', (event) => {
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if ((event.buttons & 4) === 4) {
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const canvas = app.canvas
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if (canvas && typeof canvas.processMouseMove === 'function') {
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canvas.processMouseMove(event)
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}
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}
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})
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container.addEventListener('pointerup', (event) => {
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if (event.button === 1) {
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const canvas = app.canvas
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if (canvas && typeof canvas.processMouseUp === 'function') {
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canvas.processMouseUp(event)
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}
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}
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})
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}
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const vueApps = new Map<number, VueApp>()
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// Cache for dynamically loaded addLorasWidget module
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let addLorasWidgetCache: any = null
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// @ts-ignore
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function createLoraPoolWidget(node) {
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const container = document.createElement('div')
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container.id = `lora-pool-widget-${node.id}`
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container.style.width = '100%'
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container.style.height = '100%'
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container.style.display = 'flex'
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container.style.flexDirection = 'column'
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container.style.overflow = 'hidden'
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forwardMiddleMouseToCanvas(container)
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let internalValue: LoraPoolConfig | undefined
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const widget = node.addDOMWidget(
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'pool_config',
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'LORA_POOL_CONFIG',
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container,
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{
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getValue() {
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return internalValue
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},
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setValue(v: LoraPoolConfig) {
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internalValue = v
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// ComfyUI automatically calls widget.callback after setValue
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// No need for custom onSetValue mechanism
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},
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serialize: true,
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// Per dev guide: providing getMinHeight via options allows the system to
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// skip expensive DOM measurements during rendering loop, improving performance
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getMinHeight() {
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return LORA_POOL_WIDGET_MIN_HEIGHT
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}
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}
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)
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const vueApp = createApp(LoraPoolWidget, {
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widget,
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node
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})
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vueApp.use(PrimeVue, {
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unstyled: true,
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ripple: false
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})
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vueApp.mount(container)
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vueApps.set(node.id, vueApp)
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widget.computeLayoutSize = () => {
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const minWidth = LORA_POOL_WIDGET_MIN_WIDTH
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const minHeight = LORA_POOL_WIDGET_MIN_HEIGHT
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return { minHeight, minWidth }
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}
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widget.onRemove = () => {
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const vueApp = vueApps.get(node.id)
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if (vueApp) {
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vueApp.unmount()
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vueApps.delete(node.id)
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}
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}
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return { widget }
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}
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// @ts-ignore
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function createLoraRandomizerWidget(node) {
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const container = document.createElement('div')
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container.id = `lora-randomizer-widget-${node.id}`
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container.style.width = '100%'
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container.style.height = '100%'
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container.style.display = 'flex'
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container.style.flexDirection = 'column'
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container.style.overflow = 'hidden'
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forwardMiddleMouseToCanvas(container)
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// Initialize with default config to avoid sending undefined/empty string to backend
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const defaultConfig: RandomizerConfig = {
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count_mode: 'range',
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count_fixed: 3,
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count_min: 2,
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count_max: 5,
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model_strength_min: 0.0,
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model_strength_max: 1.0,
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use_same_clip_strength: true,
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clip_strength_min: 0.0,
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clip_strength_max: 1.0,
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roll_mode: 'fixed',
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use_recommended_strength: false,
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recommended_strength_scale_min: 0.5,
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recommended_strength_scale_max: 1.0,
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}
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let internalValue: RandomizerConfig = defaultConfig
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const widget = node.addDOMWidget(
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'randomizer_config',
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'RANDOMIZER_CONFIG',
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container,
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{
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getValue() {
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return internalValue
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},
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setValue(v: RandomizerConfig) {
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internalValue = v
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// ComfyUI automatically calls widget.callback after setValue
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// No need for custom onSetValue mechanism
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},
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serialize: true,
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getMinHeight() {
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return LORA_RANDOMIZER_WIDGET_MIN_HEIGHT
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}
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}
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)
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// Add method to get pool config from connected node
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node.getPoolConfig = () => getPoolConfigFromConnectedNode(node)
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// Handle roll event from Vue component
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widget.onRoll = (randomLoras: any[]) => {
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// Find the loras widget on this node and update it
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const lorasWidget = node.widgets.find((w: any) => w.name === 'loras')
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if (lorasWidget) {
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lorasWidget.value = randomLoras
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}
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}
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const vueApp = createApp(LoraRandomizerWidget, {
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widget,
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node
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})
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vueApp.use(PrimeVue, {
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unstyled: true,
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ripple: false
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})
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vueApp.mount(container)
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vueApps.set(node.id + 10000, vueApp) // Offset to avoid collision with pool widget
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widget.computeLayoutSize = () => {
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const minWidth = LORA_RANDOMIZER_WIDGET_MIN_WIDTH
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const minHeight = LORA_RANDOMIZER_WIDGET_MIN_HEIGHT
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const maxHeight = LORA_RANDOMIZER_WIDGET_MAX_HEIGHT
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return { minHeight, minWidth, maxHeight }
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}
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widget.onRemove = () => {
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const vueApp = vueApps.get(node.id + 10000)
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if (vueApp) {
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vueApp.unmount()
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vueApps.delete(node.id + 10000)
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}
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}
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return { widget }
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}
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// @ts-ignore
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function createLoraCyclerWidget(node) {
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const container = document.createElement('div')
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container.id = `lora-cycler-widget-${node.id}`
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container.style.width = '100%'
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container.style.height = '100%'
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container.style.display = 'flex'
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container.style.flexDirection = 'column'
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container.style.overflow = 'hidden'
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forwardMiddleMouseToCanvas(container)
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let internalValue: CyclerConfig | undefined
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const widget = node.addDOMWidget(
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'cycler_config',
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'CYCLER_CONFIG',
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container,
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{
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getValue() {
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return internalValue
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},
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setValue(v: CyclerConfig) {
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const oldFilename = internalValue?.current_lora_filename
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internalValue = v
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// ComfyUI automatically calls widget.callback after setValue
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// No need for custom onSetValue mechanism
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// Update downstream loaders when the active LoRA filename changes
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if (oldFilename !== v?.current_lora_filename) {
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updateDownstreamLoaders(node)
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}
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},
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serialize: true,
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getMinHeight() {
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return LORA_CYCLER_WIDGET_MIN_HEIGHT
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}
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}
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)
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// Add method to get pool config from connected node
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node.getPoolConfig = () => getPoolConfigFromConnectedNode(node)
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const vueApp = createApp(LoraCyclerWidget, {
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widget,
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node,
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api
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})
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vueApp.use(PrimeVue, {
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unstyled: true,
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ripple: false
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})
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vueApp.mount(container)
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vueApps.set(node.id + 30000, vueApp) // Offset to avoid collision with other widgets
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widget.computeLayoutSize = () => {
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const minWidth = LORA_CYCLER_WIDGET_MIN_WIDTH
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const minHeight = LORA_CYCLER_WIDGET_MIN_HEIGHT
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const maxHeight = LORA_CYCLER_WIDGET_MAX_HEIGHT
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return { minHeight, minWidth, maxHeight }
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}
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widget.onRemove = () => {
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const vueApp = vueApps.get(node.id + 30000)
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if (vueApp) {
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vueApp.unmount()
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vueApps.delete(node.id + 30000)
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}
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}
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return { widget }
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}
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// @ts-ignore
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function createJsonDisplayWidget(node) {
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const container = document.createElement('div')
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container.id = `json-display-widget-${node.id}`
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container.style.width = '100%'
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container.style.height = '100%'
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container.style.display = 'flex'
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container.style.flexDirection = 'column'
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container.style.overflow = 'hidden'
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forwardMiddleMouseToCanvas(container)
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let internalValue: Record<string, unknown> | undefined
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const widget = node.addDOMWidget(
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'metadata',
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'JSON_DISPLAY',
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container,
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{
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getValue() {
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return internalValue
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},
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setValue(v: Record<string, unknown>) {
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internalValue = v
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if (typeof widget.onSetValue === 'function') {
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widget.onSetValue(v)
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}
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},
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serialize: false, // Display-only widget - don't save metadata in workflows
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getMinHeight() {
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return JSON_DISPLAY_WIDGET_MIN_HEIGHT
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}
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}
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)
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const vueApp = createApp(JsonDisplayWidget, {
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widget,
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node
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})
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vueApp.use(PrimeVue, {
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unstyled: true,
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ripple: false
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})
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vueApp.mount(container)
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vueApps.set(node.id + 20000, vueApp) // Offset to avoid collision with other widgets
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widget.computeLayoutSize = () => {
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const minWidth = JSON_DISPLAY_WIDGET_MIN_WIDTH
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const minHeight = JSON_DISPLAY_WIDGET_MIN_HEIGHT
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return { minHeight, minWidth }
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}
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widget.onRemove = () => {
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const vueApp = vueApps.get(node.id + 20000)
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if (vueApp) {
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vueApp.unmount()
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vueApps.delete(node.id + 20000)
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}
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}
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return { widget }
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}
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// Store nodeData options per widget type for autocomplete widgets
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const widgetInputOptions: Map<string, { placeholder?: string }> = new Map()
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// Listen for Vue DOM mode setting changes and dispatch custom event
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const initVueDomModeListener = () => {
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if (app.ui?.settings?.addEventListener) {
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app.ui.settings.addEventListener('Comfy.VueNodes.Enabled.change', () => {
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// Use requestAnimationFrame to ensure the setting value has been updated
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// before we read it (the event may fire before internal state updates)
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requestAnimationFrame(() => {
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const isVueDomMode = app.ui?.settings?.getSettingValue?.('Comfy.VueNodes.Enabled') ?? false
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// Dispatch custom event for Vue components to listen to
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document.dispatchEvent(new CustomEvent('lora-manager:vue-mode-change', {
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detail: { isVueDomMode }
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}))
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})
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})
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}
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}
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// Initialize listener when app is ready
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if (app.ui?.settings) {
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initVueDomModeListener()
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} else {
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// Defer until app is ready
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const checkAppReady = setInterval(() => {
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if (app.ui?.settings) {
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initVueDomModeListener()
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clearInterval(checkAppReady)
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}
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}, 100)
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}
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// Factory function for creating autocomplete text widgets
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// @ts-ignore
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function createAutocompleteTextWidgetFactory(
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node: any,
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widgetName: string,
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modelType: 'loras' | 'embeddings' | 'prompt',
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inputOptions: { placeholder?: string } = {}
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) {
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const container = document.createElement('div')
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container.id = `autocomplete-text-widget-${node.id}-${widgetName}`
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container.style.width = '100%'
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container.style.height = '100%'
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container.style.display = 'flex'
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container.style.flexDirection = 'column'
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container.style.overflow = 'hidden'
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forwardMiddleMouseToCanvas(container)
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// Store textarea reference on the container element so cloned widgets can access it
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// This is necessary because when widgets are promoted to subgraph nodes,
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// the cloned widget shares the same element but needs access to inputEl
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const widgetElementRef = { inputEl: undefined as HTMLTextAreaElement | undefined }
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;(container as any).__widgetInputEl = widgetElementRef
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const widget = node.addDOMWidget(
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widgetName,
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`AUTOCOMPLETE_TEXT_${modelType.toUpperCase()}`,
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container,
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{
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getValue() {
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// Access inputEl from widget or from the shared element reference
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const inputEl = widget.inputEl ?? (container as any).__widgetInputEl?.inputEl
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return inputEl?.value ?? ''
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},
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setValue(v: string) {
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// Access inputEl from widget or from the shared element reference
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const inputEl = widget.inputEl ?? (container as any).__widgetInputEl?.inputEl
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if (inputEl) {
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inputEl.value = v ?? ''
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// Notify Vue component of value change via custom event
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inputEl.dispatchEvent(new CustomEvent('lora-manager:autocomplete-value-changed', {
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detail: { value: v ?? '' }
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}))
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}
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// Also call onSetValue if defined (for Vue component integration)
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if (typeof widget.onSetValue === 'function') {
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widget.onSetValue(v ?? '')
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}
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},
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serialize: true,
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getMinHeight() {
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return AUTOCOMPLETE_TEXT_WIDGET_MIN_HEIGHT
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},
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...(modelType === 'loras' && {
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getMaxHeight() {
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return AUTOCOMPLETE_TEXT_WIDGET_MAX_HEIGHT
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}
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})
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}
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)
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// Get spellcheck setting from ComfyUI settings (default: false)
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const spellcheck = app.ui?.settings?.getSettingValue?.('Comfy.TextareaWidget.Spellcheck') ?? false
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const vueApp = createApp(AutocompleteTextWidget, {
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widget,
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node,
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modelType,
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placeholder: inputOptions.placeholder || widgetName,
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showPreview: true,
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spellcheck
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})
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vueApp.use(PrimeVue, {
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unstyled: true,
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ripple: false
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})
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vueApp.mount(container)
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// Use a unique key combining node.id and widget name to avoid collisions
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const appKey = node.id * 100000 + widgetName.charCodeAt(0)
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vueApps.set(appKey, vueApp)
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widget.onRemove = () => {
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const vueApp = vueApps.get(appKey)
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if (vueApp) {
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vueApp.unmount()
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vueApps.delete(appKey)
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}
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}
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return { widget }
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}
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app.registerExtension({
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name: 'LoraManager.VueWidgets',
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getCustomWidgets() {
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return {
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// @ts-ignore
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LORA_POOL_CONFIG(node) {
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return createLoraPoolWidget(node)
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},
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// @ts-ignore
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RANDOMIZER_CONFIG(node) {
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return createLoraRandomizerWidget(node)
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},
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// @ts-ignore
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CYCLER_CONFIG(node) {
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return createLoraCyclerWidget(node)
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},
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// @ts-ignore
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async LORAS(node: any) {
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if (!addLorasWidgetCache) {
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// @ts-ignore
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const module = await import(/* @vite-ignore */ '../loras_widget.js')
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addLorasWidgetCache = module.addLorasWidget
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}
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// Check if this is a randomizer node to enable lock buttons
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const isRandomizerNode = node.comfyClass === 'Lora Randomizer (LoraManager)'
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|
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// For randomizer nodes, add a callback to update connected trigger words
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const callback = isRandomizerNode ? () => {
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updateDownstreamLoaders(node)
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} : null
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|
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return addLorasWidgetCache(node, 'loras', { isRandomizerNode }, callback)
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},
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// Autocomplete text widget for LoRAs (used by Lora Loader, Lora Stacker, WanVideo Lora Select)
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// @ts-ignore
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AUTOCOMPLETE_TEXT_LORAS(node) {
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const options = widgetInputOptions.get(`${node.comfyClass}:text`) || {}
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return createAutocompleteTextWidgetFactory(node, 'text', 'loras', options)
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},
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// Autocomplete text widget for embeddings (used by Prompt node)
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|
// @ts-ignore
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|
AUTOCOMPLETE_TEXT_EMBEDDINGS(node) {
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const options = widgetInputOptions.get(`${node.comfyClass}:text`) || {}
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return createAutocompleteTextWidgetFactory(node, 'text', 'embeddings', options)
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},
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|
// Autocomplete text widget for prompt (supports both embeddings and custom words)
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|
// @ts-ignore
|
|
AUTOCOMPLETE_TEXT_PROMPT(node) {
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|
const options = widgetInputOptions.get(`${node.comfyClass}:text`) || {}
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|
return createAutocompleteTextWidgetFactory(node, 'text', 'prompt', options)
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|
}
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|
}
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|
},
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|
|
|
// Add display-only widget to Debug Metadata node
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|
// Register mode change handlers for LoRA provider nodes
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|
// Extract and store input options for autocomplete widgets
|
|
// @ts-ignore
|
|
async beforeRegisterNodeDef(nodeType, nodeData) {
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|
const comfyClass = nodeType.comfyClass
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|
|
|
// Extract and store input options for autocomplete widgets
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|
const inputs = { ...nodeData.input?.required, ...nodeData.input?.optional }
|
|
for (const [inputName, inputDef] of Object.entries(inputs)) {
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|
// @ts-ignore
|
|
if (Array.isArray(inputDef) && typeof inputDef[0] === 'string' && inputDef[0].startsWith('AUTOCOMPLETE_TEXT_')) {
|
|
// @ts-ignore
|
|
const options = inputDef[1] || {}
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|
widgetInputOptions.set(`${nodeData.name}:${inputName}`, options)
|
|
}
|
|
}
|
|
|
|
// Register mode change handlers for LoRA provider nodes
|
|
if (LORA_PROVIDER_NODE_TYPES.includes(comfyClass)) {
|
|
const originalOnNodeCreated = nodeType.prototype.onNodeCreated
|
|
|
|
nodeType.prototype.onNodeCreated = function () {
|
|
originalOnNodeCreated?.apply(this, arguments)
|
|
|
|
// Create node-specific callback for Lora Stacker (updates direct trigger toggles)
|
|
const nodeSpecificCallback = comfyClass === "Lora Stacker (LoraManager)"
|
|
? (activeLoraNames: Set<string>) => updateConnectedTriggerWords(this, activeLoraNames)
|
|
: undefined
|
|
|
|
// Create and set up the mode change handler
|
|
const onModeChange = createModeChangeCallback(this, updateDownstreamLoaders, nodeSpecificCallback)
|
|
setupModeChangeHandler(this, onModeChange)
|
|
}
|
|
}
|
|
|
|
// Add the JSON display widget to Debug Metadata node
|
|
if (nodeData.name === 'Debug Metadata (LoraManager)') {
|
|
const onNodeCreated = nodeType.prototype.onNodeCreated
|
|
|
|
nodeType.prototype.onNodeCreated = function () {
|
|
onNodeCreated?.apply(this, [])
|
|
|
|
// Add the JSON display widget
|
|
createJsonDisplayWidget(this)
|
|
}
|
|
}
|
|
}
|
|
})
|