EasyDrag: Efficient Point-Based Manipulation on Diffusion Models

Figure 1 . DragGAN fails in both cases due to limited model capacity. Similarly, DragDiffusion relies on LoRA fine-tuning and hand-drawn masks to achieve high-quality results, and SDE-Drag also fails to address these two cases effectively. In contrast, our approach ensures precise manipulation and detail preservation without fine-tuning or masks.