Made CLIP input optional in LoRA Loader, enabling compatibility with Hunyuan workflows

py/nodes/lora_loader.py

@@ -18,7 +18,7 @@ class LoraManagerLoader:
         return {
             "required": {
                 "model": ("MODEL",),
-                "clip": ("CLIP",),
+                # "clip": ("CLIP",),
                 "text": (IO.STRING, {
                     "multiline": True, 
                     "dynamicPrompts": True, 
@@ -75,11 +75,12 @@ class LoraManagerLoader:
             logger.warning(f"Unexpected loras format: {type(loras_data)}")
             return []
     
-    def load_loras(self, model, clip, text, **kwargs):
+    def load_loras(self, model, text, **kwargs):
         """Loads multiple LoRAs based on the kwargs input and lora_stack."""
         loaded_loras = []
         all_trigger_words = []
         
+        clip = kwargs.get('clip', None)
         lora_stack = kwargs.get('lora_stack', None)
         # First process lora_stack if available
         if lora_stack:

py/services/recipe_scanner.py

@@ -2,16 +2,13 @@ import os
 import logging
 import asyncio
 import json
-import re
 from typing import List, Dict, Optional, Any
-from datetime import datetime
 from ..config import config
 from .recipe_cache import RecipeCache
 from .lora_scanner import LoraScanner
 from .civitai_client import CivitaiClient
 from ..utils.utils import fuzzy_match
 import sys
-from contextlib import asynccontextmanager
 
 logger = logging.getLogger(__name__)
 

web/comfyui/lora_loader.js

@@ -35,6 +35,10 @@ app.registerExtension({
             // 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
             });