Update README for v2.2.8

README.md

@@ -6,7 +6,7 @@ A ComfyUI custom node for loading and applying LoRA (Low-Rank Adaptation) to Nun
 
 **Currently under development and testing. Debug logs are being output extensively. This does not affect functionality.**
 
-> Latest release: [v2.2.7 on GitHub Releases](https://github.com/ussoewwin/ComfyUI-QwenImageLoraLoader/releases/tag/2.2.7)
+> Latest release: [v2.2.8 on GitHub Releases](https://github.com/ussoewwin/ComfyUI-QwenImageLoraLoader/releases/tag/2.2.8)
 > 
 > ⚠️ **Note for v2.0+ users**: If you encounter `TypeError: got multiple values for argument 'guidance'` errors, see [troubleshooting section](#issue-30-typeerror-got-multiple-values-for-argument-guidance-v20) below.
 
@@ -241,7 +241,11 @@ ComfyUI\python_embeded\python.exe -m pip install --upgrade diffusers
 
 ## Changelog
 
-### v2.2.7 (latest)
+### v2.2.8 (latest)
+- **Fixed**: Resolved [Issue #44](https://github.com/ussoewwin/ComfyUI-QwenImageLoraLoader/issues/44) – Fixed freeze issue when loading unsupported LoRA formats (SD1.5, LoKR, LoHa, etc.). Unsupported formats are now detected early and detailed key inspection is skipped to prevent console freeze. Retry logic is also skipped for unsupported formats to prevent duplicate logging
+- **Technical Details**: See [v2.2.8 Release Notes](https://github.com/ussoewwin/ComfyUI-QwenImageLoraLoader/releases/tag/2.2.8) for complete explanation
+
+### v2.2.7
 - **Performance**: LoRA loading speed improvement - Implemented optimization by eliminating duplicate file reads. The first LoRA file loaded for debug logging is now cached and reused in actual processing, eliminating duplicate file I/O and deserialization operations
 - **Technical Details**: See [v2.2.7 Release Notes](https://github.com/ussoewwin/ComfyUI-QwenImageLoraLoader/releases/tag/2.2.7) for complete explanation
 - **Acknowledgments**: 本次性能改进参考了知乎（zhihu.com）上 Jimmy 先生发表的文章《【closerAI ComfyUI】nunchaku V1.1 支持 z-image + 支持 zimage-LoRA 的修复方案，短板一次性补全，nunchaku zimage 全面高速生图解决方案！》。虽然本项目采用的实现方案在具体设计与实现细节上可能与 Jimmy 先生的方案有所不同，但该文章促使我重新审视 LoRA 加载流程中的性能瓶颈，并意识到在速度优化方面仍然存在改进空间。借此机会，谨向 Jimmy 先生表示诚挚的感谢。