This work presents FlashFace, a practical tool with which users can easily
personalize their own photos on the fly by providing one or a few reference
face images and a text prompt. Our approach is distinguishable from existing
human photo customization methods by higher-fidelity identity preservation and
better instruction following, benefiting from two subtle designs. First, we
encode the face identity into a series of feature maps instead of one image
token as in prior arts, allowing the model to retain more details of the
reference faces (e.g., scars, tattoos, and face shape ). Second, we introduce a
disentangled integration strategy to balance the text and image guidance during
the text-to-image generation process, alleviating the conflict between the
reference faces and the text prompts (e.g., personalizing an adult into a
"child" or an "elder"). Extensive experimental results demonstrate the
effectiveness of our method on various applications, including human image
personalization, face swapping under language prompts, making virtual
characters into real people, etc. Project Page:
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FlashFace 是一种实用工具，用户可以通过提供一张或几张参考人脸图片和一个文本提示，轻松地即时个性化自己的照片。该方法通过两个微妙的设计与现有的人脸个性化方法有所区别，具有更高保真度的身份保存和更好的指令跟随。实验证明了我们的方法在各种应用中的有效性，包括人体图像个性化、根据语言提示进行人脸替换、将虚拟角色变成真实人物等。