December 2024 monthly summary for ROCm/AMDMIGraphX focused on stability and correctness for diffusion-model integration. The primary deliverable this month was a targeted bug fix in Stable-diffusion-3-lite-onnx clip-l outputs to ensure reliable execution across environments. No new features were released; the patch validates output tensor shapes and swaps tensors when shapes do not match expected dimensions, reducing runtime errors and improving model reliability in production workflows. Business value: improved reliability for production diffusion workloads, reduced debugging time, and smoother model deployment across platforms. Technologies/skills demonstrated: C++, ONNX path validation, tensor shape checks, patch submission and code review, and practical debugging of diffusion-model pipelines.