Comments (1)
Training requires at least two faces with different IDs. We recommend that you use source ID (the face you want to be) and target ID (the face you want to swap) to form a small dataset, with at least 10 images for each ID.
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Related Issues (20)
- Are you still working on SimSwap++? HOT 2
- Problem ValueError with SimSwap HOT 4
- Export result of multispecific simswap colab output is not swapping faces HOT 4
- MultiSpecific.ipynb no swiping faces HOT 4
- NoneType error. HELP! HOT 1
- How was the arcface.tar generated?
- 512 vs 224 model HOT 1
- Can't get Simswap to work after upgrading PC HOT 7
- MultiScale Discriminator
- antelope.zip HOT 1
- fsmode, pix2pixhd model,ui model, projected model and pg_model folder ? HOT 1
- Error:test_video_swapsingle.py HOT 1
- Collab demo gives me "Deprecated alias error."
- Trying to install insightface==0.2.1 onnxruntime moviepy HOT 4
- Clone
- various issues on Colab HOT 1
- WARNING message after performing the swap
- AttributeError: module 'numpy' has no attribute 'float' HOT 8
- Demo on Replicate couldn't be used.
- Need explanation about networks in pg_modules/projector.py
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