AI-generated videos often suffer from facial blurring, distortion, deformed eyes, and flickering or drifting pupils. This workflow addresses these issues by first cropping the facial area and performing...
Profil d'exécution
Description de la source
基于Wan2.2_Animate的视频面部细节修复及换脸工作流。AI生成视频人脸会有模糊畸变,眼睛变形,瞳孔闪烁乱飘的现象。此工作流先将人脸区域截取出来,使用Wan2.2_Animate高清重绘,再把修复的人脸替换原视频人脸。
此工作流不仅可以高清修复人脸,还可以人脸替换和保持人脸一致性。
(在工作流中绿色节点旁给出参数设置的说明。观察人脸识别是否正确,如果错误需要修改识别阈值,如果没有识别出人脸,把数值改为0.3。如果面部替换不彻底,边缘有原脸的痕迹,可以尝试修改人脸合成里遮罩的模糊半径,比如从10修改为5。)
AI-generated videos often suffer from facial blurring, distortion, deformed eyes, and flickering or drifting pupils. This workflow addresses these issues by first cropping the facial area and performing high-definition (HD) repainting using Wan2.2_Animate. The repaired faces are then seamlessly composited back into the original video.
Beyond high-definition restoration, this workflow also supports Face Swapping and ensures strong facial consistency throughout the video.
Sources
1 sourceExtraits de sources
1 extraitSource context: 666 downloads · Type Workflows · Base model Wan Video 2.2 I2V-A14B
(Please refer to the parameter descriptions next to the green nodes in the workflow. Check if the face recognition is accurate; if not, you may need to adjust the detection threshold. If no face is detected, try lowering the value to 0.3. If the face replacement is incomplete and the edges of the original face are still visible, you can try adjusting the mask blur radius in the face fusion settings—for example, changing it from 10 to 5.)
Remaining hardware or download-size estimates are not available yet.
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