Closed CristianoTian closed 10 months ago
2023-09-12 09:47:34,840 - modules.shared - Starting job task(b2d2fj37dgzh11b)
100%|███████████████████████████████████████████| 20/20 [00:06<00:00, 3.14it/s]
2023-09-12 09:47:46,137 - FaceSwapLab - INFO - Try to use model : /tmp-data/workspace/stable-diffusion-webui/models/faceswaplab/inswapper_128.onnx
/tmp-data/workspace/stable-diffusion-webui/venv/lib/python3.10/site-packages/insightface/utils/transform.py:68: FutureWarning: rcond
parameter will change to the default of machine precision times max(M, N)
where M and N are the input matrix dimensions.
To use the future default and silence this warning we advise to pass rcond=None
, to keep using the old, explicitly pass rcond=-1
.
P = np.linalg.lstsq(X_homo, Y)[0].T # Affine matrix. 3 x 4
2023-09-12 09:47:47,338 - FaceSwapLab - INFO - blend all faces together
2023-09-12 09:47:47,577 - FaceSwapLab - INFO - Int Gender : 1
2023-09-12 09:47:47,577 - FaceSwapLab - INFO - Process face 0
2023-09-12 09:47:47,581 - FaceSwapLab - INFO - Source Gender 1
2023-09-12 09:47:47,581 - FaceSwapLab - INFO - Target faces count : 1
2023-09-12 09:47:47,581 - FaceSwapLab - INFO - swap face 0
2023-09-12 09:47:47,805 - FaceSwapLab - INFO - ****
2023-09-12 09:47:47,805 - FaceSwapLab - INFO - Inswapper
2023-09-12 09:47:47,806 - FaceSwapLab - INFO - ****
2023-09-12 09:47:47,869 - FaceSwapLab - INFO - Finished processing image, return 1 images
2023-09-12 09:47:47,869 - FaceSwapLab - INFO - 1 images swapped
2023-09-12 09:47:47,869 - FaceSwapLab - INFO - Add swp image to processed
Total progress: 100%|███████████████████████████| 20/20 [00:09<00:00, 2.19it/s]
2023-09-12 09:47:48,847 - modules.shared - Ending job task(b2d2fj37dgzh11b) (14.01 seconds)
sorry, Already used
Try to use model : /tmp-data/workspace/stable-diffusion-webui/models/faceswaplab/inswapper_128.onnx /tmp-data/workspace/stable-diffusion-webui/venv/lib/python3.10/site-packages/insightface/utils/transform.py:68: FutureWarning:
rcond
parameter will change to the default of machine precision timesmax(M, N)
where M and N are the input matrix dimensions. To use the future default and silence this warning we advise to passrcond=None
, to keep using the old, explicitly passrcond=-1
. P = np.linalg.lstsq(X_homo, Y)[0].T # Affine matrix. 3 x 4