feat: add memory-optimized startup script for Qwen-Image

Created run_qwen_optimized.sh script that:
- Sets optimal CUDA memory allocation settings
- Configures cache sizes for 24GB VRAM systems
- Uses bfloat16 precision by default
- Includes helpful recommendations for users

This script helps users avoid OOM errors when running Qwen-Image models
on systems with limited VRAM.

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>

run_qwen_optimized.sh

@@ -0,0 +1,26 @@
+#!/bin/bash
+# Run InvokeAI with optimized settings for Qwen-Image models
+
+echo "Starting InvokeAI with Qwen-Image memory optimizations..."
+echo "----------------------------------------"
+echo "Recommendations for 24GB VRAM systems:"
+echo "1. Set VRAM cache to 8-10GB in InvokeAI settings"
+echo "2. Set RAM cache to 20-30GB (based on available system RAM)"
+echo "3. Use bfloat16 precision (default in our loader)"
+echo "----------------------------------------"
+
+# Set environment variables for better memory management
+export PYTORCH_CUDA_ALLOC_CONF="max_split_size_mb:512"
+export CUDA_LAUNCH_BLOCKING=0
+
+# Optional: Limit CPU threads to prevent memory thrashing
+export OMP_NUM_THREADS=8
+
+# Run InvokeAI with your root directory
+invokeai-web --root ~/invokeai/ \
+  --precision bfloat16 \
+  --max_cache_size 8.0 \
+  --max_vram_cache_size 8.0
+
+# Alternative: Use with config file
+# invokeai-web --root ~/invokeai/ --config qwen_test_config.yaml