diff --git a/TRIGGER_WORDS_GUIDE.md b/TRIGGER_WORDS_GUIDE.md
index 381435d..ae5c081 100644
--- a/TRIGGER_WORDS_GUIDE.md
+++ b/TRIGGER_WORDS_GUIDE.md
@@ -69,7 +69,9 @@ Here's a typical workflow using trigger words:
 
 1. Create an **XY Input: LoRA Plot** node
 2. Set `input_mode` to "X: LoRA Batch, Y: LoRA Weight"
-3. Set `X_batch_path` to your LoRA directory (e.g., `d:\LoRas`)
+3. Set `X_batch_path` to your LoRA directory 
+   - Windows: `d:\LoRas` or `C:\ComfyUI\models\loras`
+   - Linux/Mac: `/path/to/loras` or `~/ComfyUI/models/loras`
 4. Set `X_batch_count` to the number of LoRAs you want to test
 5. In the `X_trigger_words` field, enter trigger words (one per line):
    ```
diff --git a/efficiency_nodes.py b/efficiency_nodes.py
index 717b53f..05d95e6 100644
--- a/efficiency_nodes.py
+++ b/efficiency_nodes.py
@@ -1271,13 +1271,15 @@ class TSC_KSampler:
                     lora_trigger_word = lora_tuple[3] if len(lora_tuple) > 3 else ""
                     
                     # Inject trigger word into positive prompt if present
+                    # positive_prompt structure: (current_prompt, original_prompt, prompt_after_X_loop)
                     if lora_trigger_word:
                         if positive_prompt[2] is not None:
-                            # In Y loop after X loop
+                            # In Y loop after X loop - build on the X loop result
                             positive_prompt = (positive_prompt[2] + " " + lora_trigger_word, positive_prompt[1], positive_prompt[2])
                         else:
-                            # In X loop or initial
-                            positive_prompt = (positive_prompt[1] + " " + lora_trigger_word, positive_prompt[1], positive_prompt[1] + " " + lora_trigger_word)
+                            # In X loop or initial - build on original and save for Y loop
+                            modified_prompt = positive_prompt[1] + " " + lora_trigger_word
+                            positive_prompt = (modified_prompt, positive_prompt[1], modified_prompt)
                     
                     lora_filename = os.path.splitext(os.path.basename(lora_name))[0]