diff --git a/README.md b/README.md
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--- a/README.md
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@@ -82,6 +82,25 @@ When a node has `OUTPUT_IS_LIST = True`:
 
 This is ComfyUI's native batching/looping mechanism.
 
+## ⚠️ Memory Management Warning
+
+**Important:** The simple loop mechanism in this node pack iterates **by node execution**, not by iteration cycle. This means all nodes in the loop execute for each file, which can lead to **Out of Memory (OOM) errors** if proper memory management is not implemented, especially when processing large batches or using memory-intensive operations.
+
+### Recommendations:
+
+1. **For Node-Based Loops (using FilePathsForLoop):**
+   - Use clean VRAM or clean RAM nodes after heavy procedure nodes complete (e.g., after any model loading required nodes like image generation, audio generation, or video generation)
+   - This ensures proper cleaning and unloading of unneeded models between iterations
+   - Example: After your image generation node, connect a "Clean VRAM" or "Clean RAM" node before the next iteration
+
+2. **For Sequential Loops (true iteration cycles):**
+   - **Recommended:** Use third-party for-loop/while-loop custom nodes for sequential iteration
+   - Use `LoadFilePathsFromFolder` node to get file count (as loop count) and file names data
+   - Pass the file count to your third-party loop node to set the iteration count
+   - Within the loop, connect the current index value to `GetPathByIndex` node
+   - Connect filenames/filepaths from `LoadFilePathsFromFolder` to `GetPathByIndex` node's inputs
+   - This approach provides better control over memory management and true sequential processing
+
 ## Example Workflows
 
 ### Simple Loop Processing
diff --git a/__pycache__/nodes.cpython-312.pyc b/__pycache__/nodes.cpython-312.pyc
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