Low-Rank Adaptation (LoRA) and DoRA now enable efficient fine-tuning of NVIDIA Cosmos Predict 2.5 for robotic video generation. This approach reduces memory overhead while maintaining high visual fidelity in synthetic training data. Practitioners can now customize world models for specific robot kinematics. It streamlines the creation of high-quality simulation datasets for downstream policy training.