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- Faceswap Forum - The place to discuss Faceswap and Deepfakes - Forum Home
Welcome to the FaceSwap Forums! This is a SFW only forum This is pretty much our only rule, but it is a zero tolerance rule
- [Guide] A Rough Guide to Converting - Faceswap Forum - The place to . . .
Avg Color - Takes an average of the colors between the original face and the swap face and applies this to the swap face Color Transfer - A color matching algorithm developed by Reinhard et al , 2001 This method has a couple of options in the right hand pane
- Faceswap Forum - The place to discuss Faceswap and Deepfakes - Faceswap . . .
Forum rules Read the FAQs and search the forum before posting a new topic This forum is for discussing tips and understanding the process involved for creating swaps in Faceswap
- [Guide] Training in Faceswap - Faceswap Forum - The place to discuss . . .
Column 1 is the unchanged face that is fed into the model Column 2 is the model attempting to recreate that face Column 3 is the model attempting to swap the face These will start out as a solid color, or very blurry, but will improve over time as the NN learns how to recreate and swap faces
- Challenges faceswapping VR videos - Faceswap Forum - The place to . . .
It was almost perfect 3 This video game realism only existed when the face was in my "green zone of none-face-stretching" The further a face strayed from the center, the more likely faceswap couldnt even detect there was a face, even on a confidence of 0, and the face didn't stretch right in the final product 4 I kept the face small
- Faceswap Forum - The place to discuss Faceswap and Deepfakes . . .
Most likely you have trained your model the wrong way round A should be the person who's face you want to remove and B should be the person who's face you want to place on A All is not lost You can select the -s, --swap-model switch that will perform the swap B>A rather than A>B
- [Guide] Training best practices. - Faceswap Forum - The place to . . .
Hi everybody, the best practice guide recommends to use fit training How is this exactly done? After training the initial model, do I need to ADD the faces of the actual swap video (i e copy the faces to the initial ones and merge the alignments files) or do I need to REPLACE the faces (continue training only using the faces of the swap video and the corresponding alignment file)?
- Experiments in pretraining - Faceswap Forum - The place to discuss . . .
In fact, there are solutions (called 0-shot) that can swap a face it's never seen before (for models like this I suggest looking at First Order Model) These are great for their uses, but aren't the same as FaceSwap and have different goals FaceSwap focuses on the absolutely best image quality video-focused swap possible with consumer hardware
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