We present UniTune, a simple and novel method for general text-driven image
editing. UniTune gets as input an arbitrary image and a textual edit
description, and carries out the edit while maintaining high semantic and
visual fidelity to the input image. UniTune uses text, an intuitive interface
for art-direction, and does not require additional inputs, like masks or
sketches. At the core of our method is the observation that with the right
choice of parameters, we can fine-tune a large text-to-image diffusion model on
a single image, encouraging the model to maintain fidelity to the input image
while still allowing expressive manipulations. We used Imagen as our
text-to-image model, but we expect UniTune to work with other large-scale
models as well. We test our method in a range of different use cases, and
demonstrate its wide applicability.

UniTune 是一种简单而新颖的文本驱动图像编辑方法，它使用文本作为直观的艺术指导界面并且无需其他输入。该方法的核心在于观察到，通过选择合适的参数，我们可以在单个图像上对大型文本到图像扩散模型进行微调，从而鼓励模型保持对输入图像的忠实性，同时允许表达性的操作。该文献中，作者使用 Imagen 作为他们的文本到图像模型，并证明了 UniTune 方法的广泛适用性。