DART: Distillation-Aware Reparameterization for Training-Free LoRA Reuse in Few-Step Video Diffusion Models

arXiv:2609.20051 · cs.AI · Submitted 2026-09-17 · Read on arXiv

cs.AI

Submitted: 2026-09-17

Updated: 2026-09-26

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Calibration — 40× in this paper · explained in 7 episodes
• Distillation — 20× in this paper · explained in 2 episodes
• Alignment — 12× in this paper · explained in 1 episode
• Diffusion Model — 10× in this paper · explained in 8 episodes
• Diffusion Models — 10× in this paper · explained in 6 episodes
• Adaptation — 7× in this paper · explained in 1 episode
• Ablation — 6× in this paper · explained in 1 episode
• Benchmark — 6× in this paper · explained in 2 episodes
• Consistency — 6× in this paper · explained in 3 episodes
• Generative Model — 3× in this paper · explained in 2 episodes
• Generative Models — 3× in this paper · explained in 2 episodes
• Clustering — 2× in this paper · explained in 2 episodes
• Foundation Model — 2× in this paper · explained in 3 episodes
• Foundation Models — 2× in this paper · explained in 7 episodes
• Low-Rank Adaptation (LoRA) — 2× in this paper · explained in 9 episodes
• Regularization — 2× in this paper · explained in 3 episodes
• Adam — 1× in this paper · explained in 2 episodes
• Aggregation — 1× in this paper · explained in 1 episode
• Amortization — 1× in this paper · explained in 1 episode
• Cross-Model Transfer — 1× in this paper · explained in 2 episodes
• Fidelity — 1× in this paper · explained in 2 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Knowledge Distillation — 1× in this paper · explained in 11 episodes
• Regret — 1× in this paper · explained in 3 episodes
• Robustness — 1× in this paper · explained in 5 episodes
• Transfer Learning — 1× in this paper · explained in 10 episodes
• Transferability — 1× in this paper · explained in 4 episodes
• Transformer — 1× in this paper · explained in 2 episodes
• Verification — 1× in this paper · explained in 2 episodes

Sources

• LoRA-X: Bridging Foundation Models with Training-Free Cross-Model Adaptation
• Distilling the Knowledge in a Neural Network
• Imagen Video: High Definition Video Generation with Diffusion Models
• CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers
• LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition
• HunyuanVideo: A Systematic Framework For Large Video Generative Models
• DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps
• X-Adapter: Adding Universal Compatibility of Plugins for Upgraded Diffusion Model
• FitNets: Hints for Thin Deep Nets
• Make-A-Video: Text-to-Video Generation without Text-Video Data
• Model merging with SVD to tie the Knots
• ModelScope Text-to-Video Technical Report
• $\textit{Trans-LoRA}$: towards data-free Transferable Parameter Efficient Finetuning
• Exploring Data-Free LoRA Transferability for Video Diffusion Models
• Wan: Open and Advanced Large-Scale Video Generative Models
• TIES-Merging: Resolving Interference When Merging Models

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