Recently, a study calledFlashFaceThe research has attracted wide attention. This research has performed well in preserving subject features, which makes people look forward to its practical application effect. The following is some key information about FlashFace.
Project address: https://jshilong.github.io/flashface-page/
Detailed features of the reference face are preserved:FlashFace can accurately preserve the features of the reference face, including tattoos, scars, etc. This means that whether it is a real person or a virtual character, FlashFace can accurately capture their unique facial features, such as rare face shapes.
More precise instructions to follow:FlashFace performs particularly well in handling inconsistencies between text prompts and reference images. When text prompts are inconsistent with reference images, FlashFace can follow the instructions more accurately and produce satisfactory results.
Multiple role mixing:FlashFace also has the ability to blend multiple characters. This means that it can combine the features of multiple reference characters to create a completely new character image. This feature provides more possibilities for creation and makes character design more diverse.
Controllable face swap:In addition to preserving and mixing features, FlashFace also has a controllable face-changing function. Users can replace and modify the character's facial features by adjusting parameters to further meet personalized needs.
In short, the FlashFace research has shown strong capabilities in preserving subject features, which makes people look forward to its future application prospects. However, we still need to wait for the actual test results after the code model is released to verify whether its performance is as strong as expected.