feat(nodes): add LoRA Syntax → Path node (#1015)

In ComfyUI Vue render mode, WidgetDOM.vue reuses its component instance
during undo/redo without re-calling mountWidgetElement(), leaving newly
created widget containers detached from the DOM.

- AutocompleteTextWidget: scan for empty containers by ID prefix and reuse
- Loras widget: scan for empty .lm-loras-container elements and reuse
- Prevent duplicate event listeners by guarding listener setup on new
  containers only
- Keep container in DOM on cleanup (clearChildren instead of remove)
  so it can be found and reused by the next factory invocation

__init__.py

@@ -16,6 +16,7 @@ try:  # pragma: no cover - import fallback for pytest collection
     from .py.nodes.lora_randomizer import LoraRandomizerLM
     from .py.nodes.lora_cycler import LoraCyclerLM
     from .py.nodes.lora_info import LoraInfoLM
+    from .py.nodes.lora_syntax_to_path import LoraSyntaxToPath
     from .py.metadata_collector import init as init_metadata_collector
 except (
     ImportError
@@ -58,6 +59,9 @@ except (
     ).LoraRandomizerLM
     LoraCyclerLM = importlib.import_module("py.nodes.lora_cycler").LoraCyclerLM
     LoraInfoLM = importlib.import_module("py.nodes.lora_info").LoraInfoLM
+    LoraSyntaxToPath = importlib.import_module(
+        "py.nodes.lora_syntax_to_path"
+    ).LoraSyntaxToPath
     init_metadata_collector = importlib.import_module("py.metadata_collector").init
 
 NODE_CLASS_MAPPINGS = {
@@ -78,6 +82,7 @@ NODE_CLASS_MAPPINGS = {
     LoraRandomizerLM.NAME: LoraRandomizerLM,
     LoraCyclerLM.NAME: LoraCyclerLM,
     LoraInfoLM.NAME: LoraInfoLM,
+    LoraSyntaxToPath.NAME: LoraSyntaxToPath,
 }
 
 WEB_DIRECTORY = "./web/comfyui"

py/nodes/lora_loader.py

@@ -1,6 +1,5 @@
 import importlib
 import logging
-import re
 
 import comfy.sd  # type: ignore
 import comfy.utils  # type: ignore
@@ -14,6 +13,7 @@ from .utils import (
     extract_lora_name,
     get_loras_list,
     nunchaku_load_lora,
+    parse_lora_syntax,
 )
 
 logger = logging.getLogger(__name__)
@@ -189,25 +189,10 @@ class LoraTextLoaderLM:
     RETURN_NAMES = ("MODEL", "CLIP", "trigger_words", "loaded_loras")
     FUNCTION = "load_loras_from_text"
 
-    def parse_lora_syntax(self, text):
-        """Parse LoRA syntax from text input."""
-        pattern = r"<lora:([^:>]+):([^:>]+)(?::([^:>]+))?>"
-        matches = re.findall(pattern, text, re.IGNORECASE)
-
-        loras = []
-        for match in matches:
-            model_strength = float(match[1])
-            loras.append({
-                "name": match[0],
-                "model_strength": model_strength,
-                "clip_strength": float(match[2]) if match[2] else model_strength,
-            })
-        return loras
-
     def load_loras_from_text(self, model, lora_syntax, clip=None, lora_stack=None):
         """Load LoRAs based on text syntax input."""
         lora_entries = _collect_stack_entries(lora_stack)
-        for lora in self.parse_lora_syntax(lora_syntax):
+        for lora in parse_lora_syntax(lora_syntax):
             lora_path, trigger_words = get_lora_info_absolute(lora["name"])
             lora_entries.append({
                 "name": lora["name"],

py/nodes/lora_syntax_to_path.py

@@ -0,0 +1,62 @@
+"""Node to resolve `<lora:name:strength>` syntax to absolute file system paths.
+
+Takes the loaded_loras / active_loras STRING output from LoraLoaderLM or
+LoraStackerLM and resolves each lora name to its absolute path on disk via
+the scanner cache. Unknown names are returned as-is.
+"""
+
+import logging
+
+from ..utils.utils import get_lora_info_absolute
+from .utils import parse_lora_syntax
+
+logger = logging.getLogger(__name__)
+
+
+class LoraSyntaxToPath:
+    NAME = "LoRA Syntax → Path (LoraManager)"
+    CATEGORY = "Lora Manager/utils"
+
+    @classmethod
+    def INPUT_TYPES(cls):
+        return {
+            "required": {
+                "lora_syntax": (
+                    "STRING",
+                    {
+                        "forceInput": True,
+                        "multiline": True,
+                        "tooltip": (
+                            "<lora:name:strength> formatted text from "
+                            "loaded_loras / active_loras output"
+                        ),
+                    },
+                ),
+            },
+        }
+
+    RETURN_TYPES = ("STRING",)
+    RETURN_NAMES = ("paths",)
+    FUNCTION = "resolve"
+
+    def resolve(self, lora_syntax: str) -> tuple[str]:
+        """Parse <lora:...> syntax and resolve each name to its absolute path."""
+        if not lora_syntax or not lora_syntax.strip():
+            logger.info("Received empty lora_syntax input")
+            return ("",)
+
+        parsed = parse_lora_syntax(lora_syntax)
+        if not parsed:
+            logger.info("No valid <lora:...> entries found in input")
+            return ("",)
+
+        paths: list[str] = []
+        for entry in parsed:
+            try:
+                absolute_path, _ = get_lora_info_absolute(entry["name"])
+                paths.append(absolute_path)
+            except Exception:
+                logger.warning("Failed to resolve lora '%s', skipping", entry["name"])
+                continue
+
+        return ("\n".join(paths),)

py/nodes/utils.py

@@ -36,6 +36,7 @@ any_type = AnyType("*")
 
 # Common methods extracted from lora_loader.py and lora_stacker.py
 import os
+import re
 import logging
 import copy
 import sys
@@ -69,6 +70,25 @@ def extract_lora_name(lora_path):
     return apply_lora_syntax_format(name_no_ext)
 
 
+def parse_lora_syntax(text: str) -> list[dict]:
+    """Parse <lora:name:strength> syntax from text input into a list of dicts.
+
+    Each entry contains: name, model_strength, clip_strength.
+    Supports both ``<lora:name:strength>`` and ``<lora:name:model_strength:clip_strength>``.
+    """
+    pattern = r"<lora:([^:>]+):([^:>]+)(?::([^:>]+))?>"
+    matches = re.findall(pattern, text, re.IGNORECASE)
+    loras = []
+    for match in matches:
+        model_strength = float(match[1])
+        loras.append({
+            "name": match[0],
+            "model_strength": model_strength,
+            "clip_strength": float(match[2]) if match[2] else model_strength,
+        })
+    return loras
+
+
 def get_loras_list(kwargs):
     """Helper to extract loras list from either old or new kwargs format"""
     if "loras" not in kwargs:

static/js/components/ContextMenu/LoraContextMenu.js

@@ -152,7 +152,9 @@ export class LoraContextMenu extends BaseContextMenu {
     sendLoraToWorkflow(replaceMode) {
         const card = this.currentCard;
         const usageTips = JSON.parse(card.dataset.usage_tips || '{}');
-        const loraSyntax = buildLoraSyntax(card.dataset.file_name, usageTips);
+        const folder = card.dataset.folder || '';
+        const loraName = folder ? `${folder}/${card.dataset.file_name}` : card.dataset.file_name;
+        const loraSyntax = buildLoraSyntax(loraName, usageTips);
 
         sendLoraToWorkflow(loraSyntax, replaceMode, 'lora');
     }

static/js/managers/BulkManager.js

@@ -397,6 +397,7 @@ export class BulkManager {
         const updated = {
             ...existing,
             fileName: card.dataset.file_name ?? existing.fileName,
+            folder: card.dataset.folder ?? existing.folder,
             usageTips: card.dataset.usage_tips ?? existing.usageTips,
             modelName: card.dataset.name ?? existing.modelName,
         };
@@ -494,7 +495,8 @@ export class BulkManager {
 
             if (metadata) {
                 const usageTips = JSON.parse(metadata.usageTips || '{}');
-                loraSyntaxes.push(buildLoraSyntax(metadata.fileName, usageTips));
+                const loraName = metadata.folder ? `${metadata.folder}/${metadata.fileName}` : metadata.fileName;
+                loraSyntaxes.push(buildLoraSyntax(loraName, usageTips));
             } else {
                 missingLoras.push(filepath);
             }
@@ -537,7 +539,8 @@ export class BulkManager {
 
             if (metadata) {
                 const usageTips = JSON.parse(metadata.usageTips || '{}');
-                loraSyntaxes.push(buildLoraSyntax(metadata.fileName, usageTips));
+                const loraName = metadata.folder ? `${metadata.folder}/${metadata.fileName}` : metadata.fileName;
+                loraSyntaxes.push(buildLoraSyntax(loraName, usageTips));
             } else {
                 missingLoras.push(filepath);
             }
@@ -553,7 +556,8 @@ export class BulkManager {
             return;
         }
 
-        await sendLoraToWorkflow(loraSyntaxes.join(', '), replaceMode, 'lora');
+        const exitBulkMode = () => { if (state.bulkMode) this.toggleBulkMode(); };
+        await sendLoraToWorkflow(loraSyntaxes.join(', '), replaceMode, 'lora', exitBulkMode);
     }
 
     async _sendAllEmbeddingsToWorkflow() {
@@ -575,7 +579,8 @@ export class BulkManager {
         }
 
         const joinedCode = embeddingCodes.join(', ');
-        await sendEmbeddingToWorkflow(joinedCode);
+        const exitBulkMode = () => { if (state.bulkMode) this.toggleBulkMode(); };
+        await sendEmbeddingToWorkflow(joinedCode, exitBulkMode);
     }
 
     showBulkDeleteModal() {
@@ -674,6 +679,7 @@ export class BulkManager {
                     const modelId = this.parseModelId(item?.civitai?.modelId);
                     metadataCache.set(item.file_path, {
                         fileName: item.file_name,
+                        folder: item.folder || '',
                         usageTips: item.usage_tips || '{}',
                         modelName: item.name || item.file_name,
                         ...(modelId !== null ? { modelId } : {})

static/js/utils/uiHelpers.js

@@ -656,7 +656,7 @@ async function ensureRelativeModelPath(modelPath, collectionType) {
  * @param {string} syntaxType - The type of syntax ('lora' or 'recipe')
  * @returns {Promise<boolean>} - Whether the operation was successful
  */
-export async function sendLoraToWorkflow(loraSyntax, replaceMode = false, syntaxType = 'lora') {
+export async function sendLoraToWorkflow(loraSyntax, replaceMode = false, syntaxType = 'lora', onComplete = null) {
   const registry = await fetchWorkflowRegistry();
   if (!registry) {
     return false;
@@ -681,7 +681,9 @@ export async function sendLoraToWorkflow(loraSyntax, replaceMode = false, syntax
   }
 
   if (nodeKeys.length === 1) {
-    return await sendLoraToNodes([nodeKeys[0]], loraNodes, loraSyntax, replaceMode, syntaxType);
+    const result = await sendLoraToNodes([nodeKeys[0]], loraNodes, loraSyntax, replaceMode, syntaxType);
+    if (result && typeof onComplete === 'function') onComplete();
+    return result;
   }
 
   const actionType =
@@ -695,8 +697,11 @@ export async function sendLoraToWorkflow(loraSyntax, replaceMode = false, syntax
   showNodeSelector(loraNodes, {
     actionType,
     actionMode,
-    onSend: (selectedNodeIds) =>
+    onSend: async (selectedNodeIds) => {
-      sendLoraToNodes(selectedNodeIds, loraNodes, loraSyntax, replaceMode, syntaxType),
+      const result = await sendLoraToNodes(selectedNodeIds, loraNodes, loraSyntax, replaceMode, syntaxType);
+      if (result && typeof onComplete === 'function') onComplete();
+      return result;
+    },
   });
   return true;
 }
@@ -967,7 +972,7 @@ async function sendTextToNodes(nodeIds, nodesMap, text, mode, messages = {}) {
   }
 }
 
-export async function sendEmbeddingToWorkflow(embeddingCode) {
+export async function sendEmbeddingToWorkflow(embeddingCode, onComplete = null) {
   const registry = await fetchWorkflowRegistry();
   if (!registry) {
     return false;
@@ -995,8 +1000,11 @@ export async function sendEmbeddingToWorkflow(embeddingCode) {
     missingTargetMessage: translate('uiHelpers.workflow.noTargetNodeSelected', {}, 'No target node selected'),
   };
 
-  const handleSend = (selectedNodeIds) =>
+  const handleSend = async (selectedNodeIds) => {
-    sendTextToNodes(selectedNodeIds, textNodes, embeddingCode, 'append', messages);
+    const result = await sendTextToNodes(selectedNodeIds, textNodes, embeddingCode, 'append', messages);
+    if (result && typeof onComplete === 'function') onComplete();
+    return result;
+  };
 
   if (nodeKeys.length === 1) {
     return await handleSend([nodeKeys[0]]);

vue-widgets/src/main.ts

@@ -74,7 +74,7 @@ function forwardMiddleMouseToCanvas(container: HTMLElement) {
   })
 }
 
-const vueApps = new Map<number, VueApp>()
+const vueApps = new Map<number | string, VueApp>()
 let autocompleteTextWidgetInstanceId = 0
 
 export function createAutocompleteTextWidgetInstanceId() {
@@ -405,7 +405,6 @@ function createJsonDisplayWidget(node) {
   return { widget }
 }
 
-// Store nodeData options per widget type for autocomplete widgets
 const widgetInputOptions: Map<string, { placeholder?: string }> = new Map()
 
 function getSerializableWidgetNames(node: any): string[] {
@@ -722,16 +721,30 @@ function createAutocompleteTextWidgetFactory(
   inputOptions: { placeholder?: string } = {}
 ) {
   const metadataWidgetName = `__lm_autocomplete_meta_${widgetName}`
-  const instanceId = createAutocompleteTextWidgetInstanceId()
-  const container = document.createElement('div')
-  container.id = `autocomplete-text-widget-${instanceId}`
-  container.style.width = '100%'
-  container.style.height = '100%'
-  container.style.display = 'flex'
-  container.style.flexDirection = 'column'
-  container.style.overflow = 'hidden'
 
-  forwardMiddleMouseToCanvas(container)
+  let container: HTMLElement | null = null
+
+  const existingContainers = document.querySelectorAll<HTMLElement>(
+    '[id^="autocomplete-text-widget-"]'
+  )
+  for (const el of existingContainers) {
+    if (el.children.length === 0) {
+      container = el
+      break
+    }
+  }
+
+  if (!container) {
+    const instanceId = String(createAutocompleteTextWidgetInstanceId())
+    container = document.createElement('div')
+    container.id = `autocomplete-text-widget-${instanceId}`
+    container.style.width = '100%'
+    container.style.height = '100%'
+    container.style.display = 'flex'
+    container.style.flexDirection = 'column'
+    container.style.overflow = 'hidden'
+    forwardMiddleMouseToCanvas(container)
+  }
 
   // Store textarea reference on the container element so cloned widgets can access it
   // This is necessary because when widgets are promoted to subgraph nodes,
@@ -810,15 +823,10 @@ function createAutocompleteTextWidgetFactory(
   })
 
   vueApp.mount(container)
-  const appKey = instanceId
+  const appKey = container.id
   vueApps.set(appKey, vueApp)
 
   if (maxHeight) {
-    // Set only minHeight as a true minimum — remove maxHeight so the
-    // textarea can grow when the user resizes it in app mode (where
-    // [&_textarea]:resize-y applies).  Graph mode (canvas & Vue render)
-    // is unaffected because LiteGraph's layout system still governs
-    // the widget area size.
     container.style.minHeight = `${AUTOCOMPLETE_TEXT_WIDGET_MIN_HEIGHT}px`
   }
 
@@ -830,10 +838,14 @@ function createAutocompleteTextWidgetFactory(
     )
   }
 
-  widget.onRemove = createVueWidgetCleanup(vueApp, () => {
+  const vueCleanup = createVueWidgetCleanup(vueApp, () => {
     vueApps.delete(appKey)
   })
 
+  widget.onRemove = () => {
+    vueCleanup()
+  }
+
   // Return minWidth/minHeight hints so ComfyUI's _initialMinSize mechanism
   // sets a sensible initial node width (and height for prompt/embeddings).
   // loras modelType retains its existing height constraints (getMaxHeight: 100).
@@ -1007,9 +1019,7 @@ app.registerExtension({
           info.widgets_values = [...(info.widgets_values ?? []), null]
         }
 
-        const result = originalConfigure?.apply(this, arguments)
+        return originalConfigure?.apply(this, arguments)
-
-        return result
       }
     }
 

web/comfyui/loras_widget.js

@@ -14,12 +14,31 @@ import { getStrengthStepPreference } from "./settings.js";
 export function addLorasWidget(node, name, opts, callback) {
   ensureLmStyles();
 
-  // Create container for loras
+  // Create container for loras — search for an empty container already
-  const container = document.createElement("div");
+  // in the DOM first. During undo/redo in ComfyUI Vue render mode,
-  container.className = "lm-loras-container";
+  // WidgetDOM.vue reuses its component without re-calling
+  // mountWidgetElement(), so we must reuse the existing DOM element
+  // instead of creating an orphaned replacement.
+  let container = null;
+  let reuseExisting = false;
+  const existingContainers = document.querySelectorAll('.lm-loras-container');
+  for (const el of existingContainers) {
+    if (el.children.length === 0) {
+      container = el;
+      reuseExisting = true;
+      break;
+    }
+  }
 
-  forwardMiddleMouseToCanvas(container);
+  if (!container) {
-  forwardWheelToCanvas(container);
+    container = document.createElement("div");
+    container.className = "lm-loras-container";
+  }
+
+  if (!reuseExisting) {
+    forwardMiddleMouseToCanvas(container);
+    forwardWheelToCanvas(container);
+  }
 
   // Set initial height using CSS variables approach
   const defaultHeight = 200;
@@ -29,10 +48,8 @@ export function addLorasWidget(node, name, opts, callback) {
   // scrolls when content exceeds the allocated space.
   container.style.setProperty('--comfy-widget-min-height', `${defaultHeight}px`);
 
-  if (typeof LiteGraph !== 'undefined' && LiteGraph.vueNodesMode) {
+  if (!reuseExisting && typeof LiteGraph !== 'undefined' && LiteGraph.vueNodesMode) {
     container.classList.add('lm-vue-node');
-    // Window capture-phase hook: scroll the widget instead of zooming the canvas
-    // when the wheel is over a scrollable loras list.
     enableListWheelScroll(container);
   }
 
@@ -732,9 +749,10 @@ export function addLorasWidget(node, name, opts, callback) {
   widget.callback = callback;
 
   widget.onRemove = () => {
-    container.remove(); 
+    while (container.firstChild) {
+      container.removeChild(container.firstChild);
+    }
     previewTooltip.cleanup();
-    // Remove keyboard event listener
     container.removeEventListener('keydown', handleKeyboardNavigation);
   };
 

web/comfyui/vue-widgets/lora-manager-widgets.js

@@ -16081,15 +16081,27 @@ function createLoraInfoWidget(node) {
 function createAutocompleteTextWidgetFactory(node, widgetName, modelType, inputOptions = {}) {
   var _a2, _b, _c;
   const metadataWidgetName = `__lm_autocomplete_meta_${widgetName}`;
-  const instanceId = createAutocompleteTextWidgetInstanceId();
+  let container = null;
-  const container = document.createElement("div");
+  const existingContainers = document.querySelectorAll(
-  container.id = `autocomplete-text-widget-${instanceId}`;
+    '[id^="autocomplete-text-widget-"]'
-  container.style.width = "100%";
+  );
-  container.style.height = "100%";
+  for (const el of existingContainers) {
-  container.style.display = "flex";
+    if (el.children.length === 0) {
-  container.style.flexDirection = "column";
+      container = el;
-  container.style.overflow = "hidden";
+      break;
-  forwardMiddleMouseToCanvas(container);
+    }
+  }
+  if (!container) {
+    const instanceId = String(createAutocompleteTextWidgetInstanceId());
+    container = document.createElement("div");
+    container.id = `autocomplete-text-widget-${instanceId}`;
+    container.style.width = "100%";
+    container.style.height = "100%";
+    container.style.display = "flex";
+    container.style.flexDirection = "column";
+    container.style.overflow = "hidden";
+    forwardMiddleMouseToCanvas(container);
+  }
   const widgetElementRef = { inputEl: void 0 };
   container.__widgetInputEl = widgetElementRef;
   const metadataWidget = node.addWidget("text", metadataWidgetName, {
@@ -16154,7 +16166,7 @@ function createAutocompleteTextWidgetFactory(node, widgetName, modelType, inputO
     ripple: false
   });
   vueApp.mount(container);
-  const appKey = instanceId;
+  const appKey = container.id;
   vueApps.set(appKey, vueApp);
   if (maxHeight) {
     container.style.minHeight = `${AUTOCOMPLETE_TEXT_WIDGET_MIN_HEIGHT}px`;
@@ -16166,9 +16178,12 @@ function createAutocompleteTextWidgetFactory(node, widgetName, modelType, inputO
       typeof LiteGraph !== "undefined" && LiteGraph.vueNodesMode
     );
   }
-  widget.onRemove = createVueWidgetCleanup(vueApp, () => {
+  const vueCleanup = createVueWidgetCleanup(vueApp, () => {
     vueApps.delete(appKey);
   });
+  widget.onRemove = () => {
+    vueCleanup();
+  };
   const minWidth = AUTOCOMPLETE_TEXT_MIN_WIDTH_DEFAULT;
   const minHeight = modelType === "loras" ? void 0 : AUTOCOMPLETE_TEXT_MIN_HEIGHT_DEFAULT;
   return { widget, minWidth, minHeight };
@@ -16315,8 +16330,7 @@ app$1.registerExtension({
         if (bypassResult) {
           info.widgets_values = [...info.widgets_values ?? [], null];
         }
-        const result = originalConfigure == null ? void 0 : originalConfigure.apply(this, arguments);
+        return originalConfigure == null ? void 0 : originalConfigure.apply(this, arguments);
-        return result;
       };
     }
     if (LORA_CHAIN_NODE_TYPES$1.includes(comfyClass)) {