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Face swapping High similarity fast face swapping V2
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Historical Record
28.7K runs
265
35
Creation Tips
Recent operation success rate: 95%
Average runtime: around 112s
App Introduction

Update: Added DuckDuck encrypted image feature. When the encrypted image is set to 1, an encrypted image will be generated.

20251204 optimized the issue where the face could not be recognized when the proportion of the face in the image was too small.

Comparison with V1 version: 1. Added selectable number of face images (can fill in 1~4, for example, if you fill in 2, only face images 1 and 2 will be effective, and the remaining face images will not be effective (no need to delete the extra ones)).

2. Added angle rotation, counterclockwise rotation is positive, clockwise is negative. Solved the problem where the similarity decreased due to the excessive tilt angle of the face in the base image. (You can roughly estimate an angle value through the angle between the eyes and the horizontal line. It is recommended to use it when the head tilt exceeds 20°, default is 0, no rotation.)

3. Added Tile control image, allowing better face swapping even when the face is obstructed.

4. Increased secondary sampling to improve similarity, with minimal impact on speed.

5. In addition to the swapped face image, an extra image of the original picture with crop and rotation processing of the mask range will be generated for checking whether the automatic masking and rotation angle are correct.

High-similarity face swapping using SDXL accelerated model for fast face swapping, saving points.

Note: Multiple face images can increase similarity, but the number of face images will affect the processing speed of instantID. If you choose to use 4 face images, it may require a longer running time.

If you have suggestions or questions, feel free to join the QQ group to provide feedback: 1042763700

Face swapping High similarity fast face swapping V2

Portrait · Face Swap
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Success rate:95% Avg. run time:112s
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Face swapping High similarity fast face swapping V2
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