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README.md

@@ -121,6 +121,14 @@ Note, you can right-click on a bunch of the rgthree-comfy nodes and select `🛟
 >    - from the properties, change the `Show Strengths` to choose between showing a single, simple
 >      strength value (which will be used for both model and clip), or a more advanced view with
 >      both model and clip strengths being modifiable.
+>    - Now includes an `lora_info_text` output port that provides a formatted string listing all enabled Loras with their filenames and strengths.
+>      Example output format:
+>      ```
+>      FLUX_test1.safetensors: 0.83
+>      FLUX_test2.safetensors: 0.46
+>      FLUX_test3.safetensors: 0.74
+>      FLUX_test4-000016.safetensors: 0.48
+>      ```
 >    </details>
 
 

py/power_lora_loader.py

@@ -32,12 +32,15 @@ def INPUT_TYPES(cls):  # pylint: disable = invalid-name, missing-function-docstr
       "hidden": {},
     }
 
-  RETURN_TYPES = ("MODEL", "CLIP")
-  RETURN_NAMES = ("MODEL", "CLIP")
+  RETURN_TYPES = ("MODEL", "CLIP", "STRING")
+  RETURN_NAMES = ("MODEL", "CLIP", "lora_info_text")
   FUNCTION = "load_loras"
 
   def load_loras(self, model=None, clip=None, **kwargs):
     """Loops over the provided loras in kwargs and applies valid ones."""
+    lora_info_text = ""
+    lora_lines = []
+
     for key, value in kwargs.items():
       key = key.upper()
       if key.startswith('LORA_') and 'on' in value and 'lora' in value and 'strength' in value:
@@ -55,8 +58,18 @@ def load_loras(self, model=None, clip=None, **kwargs):
           lora = get_lora_by_filename(value['lora'], log_node=self.NAME)
           if model is not None and lora is not None:
             model, clip = LoraLoader().load_lora(model, clip, lora, strength_model, strength_clip)
-
-    return (model, clip)
+
+          # 收集Lora信息用于输出文本
+          lora_filename = value['lora']
+          # 对于大多数情况，使用模型强度作为显示强度
+          display_strength = strength_model
+          lora_lines.append(f"{lora_filename}: {display_strength:.2f}")
+
+    # 将收集的Lora信息格式化为文本
+    if lora_lines:
+      lora_info_text = "\n".join(lora_lines)
+
+    return (model, clip, lora_info_text)
 
   @classmethod
   def get_enabled_loras_from_prompt_node(cls,