Recently, image generation models like Stable Diffusion have gained significant popularity due to their remarkable achievements. However, their widespread use has raised concerns about potential misuse, particularly regarding acquiring training data, including using copyright-protected material. Various schemes have been proposed to address these concerns by introducing inconspicuous perturbations (poisons) to prevent models from utilizing these samples for training.