The test-time finetuning text-guided image editing method, Forgedit, is capable of tackling general and complex image editing problems given only the input image itself and the target text prompt. During finetuning stage, using the same set of finetuning hyper-paramters every time for every given image, Forgedit remembers and understands the input image in 30 seconds. During editing stage, the workflow of Forgedit might seem complicated. However, in fact, the editing process of Forgedit is not more complex than previous SOTA Imagic, yet completely solves the overfitting problem of Imagic. In this paper, we will elaborate the workflow of Forgedit editing stage with examples. We will show how to tune the hyper-parameters in an efficient way to obtain ideal editing results.

翻译：测试时微调文本引导图像编辑方法 Forgedit，能够在仅给定输入图像本身和目标文本提示的情况下，处理通用且复杂的图像编辑问题。在微调阶段，Forgedit 每次对每张给定图像使用相同的微调超参数集，在30秒内记忆并理解输入图像。在编辑阶段，Forgedit 的工作流程可能看似复杂。然而实际上，Forgedit 的编辑过程并不比先前最先进的 Imagic 更复杂，却完全解决了 Imagic 的过拟合问题。本文将通过示例详细阐述 Forgedit 编辑阶段的工作流程。我们将展示如何以高效的方式调整超参数，以获得理想的编辑结果。