While personalizing Image-to-Video (I2V) diffusion models with specific visual effects is increasingly demanded for high-end generation, current practice requires training a separate Low-Rank Adaptation (LoRA) module for each effect, incurring …
Adapter modules have emerged as a parameter-efficient method for fine-tuning large pre-trained models to downstream tasks. However, adapter training can suffer from shortcut learning, where the model exploits spurious correlations in the training …