Low-Rank Adaptation (LoRA) and DoRA now enable efficient fine-tuning of NVIDIA Cosmos Predict 2.5 for robot video generation. This approach reduces memory overhead while maintaining high visual fidelity. Researchers can now adapt the model to specific robotic tasks with minimal compute. It simplifies the pipeline for creating precise, physics-aware synthetic training data.