Clarify installation method - auto-installation is primary, requirements files are for reference only

requirements.txt

@@ -1,5 +1,8 @@
 # Base dependencies - TensorRT will be auto-installed based on CUDA detection
 # The node will automatically detect CUDA 12/13 and install appropriate TensorRT packages
+# 
+# Installation happens automatically when the node loads for the first time
+# No manual TensorRT installation required!
 
 # Base dependencies that work with any CUDA version
 einops
@@ -9,6 +12,10 @@ cuda-python
 requests
 tqdm
 
-# Note: TensorRT packages will be auto-installed when the node loads
+# Note: TensorRT packages are auto-installed on first node load:
 # CUDA 13: tensorrt_cu13==10.15.1.29 (RTX 50 series)
-# CUDA 12: tensorrt-cu12==10.13.3.9 (RTX 30/40 series)
+# CUDA 12: tensorrt-cu12==10.13.3.9 (RTX 30/40 series)
+#
+# Manual installation files are provided for reference only:
+# - requirements_cu12.txt (CUDA 12 specific)
+# - requirements_cu13.txt (CUDA 13 specific, if needed in future)

requirements_cu12.txt

@@ -1,12 +1,13 @@
 # CUDA 12 specific packages (RTX 30/40 series, CUDA 12.x)
 # 
-# NOTE: This file contains ONLY CUDA 12 specific TensorRT packages
-# Base dependencies are in requirements.txt and will be installed first
+# NOTE: This file is for REFERENCE ONLY - manual installation
+# The recommended method is AUTO-INSTALLATION via the node:
+# - Just install requirements.txt and restart ComfyUI
+# - The node will auto-detect CUDA and install TensorRT automatically
 #
-# For CUDA 13, node will auto-install tensorrt_cu13 packages
-# For CUDA 12, node will auto-install these tensorrt-cu12 packages
+# Use this file ONLY if auto-installation fails or for manual setup
 #
-# Installation order:
+# Installation order for MANUAL setup only:
 # 1. pip install -r requirements.txt (base dependencies)
 # 2. pip install -r requirements_cu12.txt (CUDA 12 specific TensorRT)
 #