SimSwap
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An arbitrary face-swapping framework on images and videos with one single trained model!
Hi, I tried both models and the 512 one result is pretty bad, anyone got good result with it ? Or anybody successfully trained the 512 model and willing to...
**When running python test_wholeimage_swapsingle.py I get this error:** Traceback (most recent call last): File "test_wholeimage_swapsingle.py", line 51, in model = create_model(opt) File "C:\Users\Joaoesp\Documents\SimSwap\SimSwap-main\models\models.py", line 18, in create_model model.initialize(opt) File "C:\Users\Joaoesp\Documents\SimSwap\SimSwap-main\models\fs_model.py",...
Dear @neuralchen @NNNNAI Thank you for sharing this excellent face swapper. I would like to inquire about the training process for the ArcFace model. I haven't come across detailed information...
My knowledge of coding is little simswap for single faces work perfectly but I tried the multi-faces swap code I hade this problem, I changed just the version of the...
How to fix this problem please help me simswap not swapping faces anymor 
i just use: python test_video_swapsingle.py --crop_size 224 --use_mask --name people --Arc_path arcface_model/arcface_checkpoint.tar --pic_a_path ./demo_file/Iron_man.jpg --video_path ./demo_file/multi_people_1080p.mp4 --output_path ./output/multi_test_swapsingle.mp4 --temp_path ./temp_results it's not work. err: Applied providers: ['CUDAExecutionProvider', 'CPUExecutionProvider'], with options:...
c:\SimSwap\SimSwap-main>python test_one_image.py --name people --Arc_path arcface_model/arcface_checkpoint.tar --pic_a_path crop_224/6.jpg --pic_b_path crop_224/ds.jpg --output_path output/ ------------ Options ------------- Arc_path: arcface_model/arcface_checkpoint.tar aspect_ratio: 1.0 batchSize: 8 checkpoints_dir: ./checkpoints cluster_path: features_clustered_010.npy crop_size: 224 data_type: 32 dataroot:...
I tried to use the cog.yaml to build a docker container, and then run the scripts within the container. I managed to get the "Simple face swapping for already face-aligned...