Search Results for 'DeepFaceLab'

Hi I am struggling with the below message, I have used deepfake with no issues on my previous PC, I haven’t even got to the training bit as I am getting this error when trying to Xseg Train.

Does anyone know what the fix would be.

Thanks,

Weebs11

Running trainer.

Model first run.

Choose one or several GPU idxs (separated by comma).

[CPU] : CPU
[0] : NVIDIA GeForce RTX 3090 Ti

[0] Which GPU indexes to choose? :
0

[wf] Face type ( h/mf/f/wf/head ?:help ) :
wf
[4] Batch_size ( 2-16 ?:help ) : 8
8
[n] Enable pretraining mode ( y/n ) :
n
Loading samples: 100%|##############################################################| 654/654 [00:01<00:00, 490.36it/s]
Loading samples: 100%|############################################################| 1619/1619 [00:03<00:00, 500.58it/s]
ImportError: numpy.core.multiarray failed to import
Traceback (most recent call last):
File “<string>”, line 1, in <module>
File “multiprocessing\spawn.py”, line 105, in spawn_main
File “multiprocessing\spawn.py”, line 115, in _main
File “D:\deepfake\DeepFaceLab_NVIDIA_RTX3000_series\_internal\DeepFaceLab\samplelib\__init__.py”, line 1, in <module>
from .Sample import Sample
File “D:\deepfake\DeepFaceLab_NVIDIA_RTX3000_series\_internal\DeepFaceLab\samplelib\Sample.py”, line 4, in <module>
import cv2
File “D:\deepfake\DeepFaceLab_NVIDIA_RTX3000_series\_internal\python-3.6.8\lib\site-packages\cv2\__init__.py”, line 3, in <module>
ImportError: numpy.core.multiarray failed to import
from .cv2 import *
Traceback (most recent call last):
ImportError: numpy.core.multiarray failed to import
ImportError: numpy.core.multiarray failed to import
File “<string>”, line 1, in <module>
ImportError: numpy.core.multiarray failed to import
ImportError: numpy.core.multiarray failed to import
Traceback (most recent call last):
Traceback (most recent call last):
File “multiprocessing\spawn.py”, line 105, in spawn_main

Traceback (most recent call last):
Traceback (most recent call last):
ImportError: numpy.core.multiarray failed to import
File “<string>”, line 1, in <module>
Exception ignored in: <module ‘collections.abc’ from ‘D:\\deepfake\\DeepFaceLab_NVIDIA_RTX3000_series\\_internal\\python-3.6.8\\python36.zip\\collections\\abc.pyc’>
File “<string>”, line 1, in <module>
File “multiprocessing\spawn.py”, line 115, in _main
File “<string>”, line 1, in <module>
File “<string>”, line 1, in <module>
Traceback (most recent call last):
File “multiprocessing\spawn.py”, line 105, in spawn_main
MemoryError
File “multiprocessing\spawn.py”, line 105, in spawn_main
File “D:\deepfake\DeepFaceLab_NVIDIA_RTX3000_series\_internal\DeepFaceLab\samplelib\__init__.py”, line 1, in <module>
File “multiprocessing\spawn.py”, line 105, in spawn_main
File “multiprocessing\spawn.py”, line 105, in spawn_main
File “<string>”, line 1, in <module>
File “multiprocessing\spawn.py”, line 115, in _main
D:\deepfake\DeepFaceLab_NVIDIA_RTX3000_series\_internal\python-3.6.8\python36.zip\importlib\_bootstrap.py:219: RuntimeWarning: Cython module failed to patch module with custom type
File “multiprocessing\spawn.py”, line 115, in _main
from .Sample import Sample
File “multiprocessing\spawn.py”, line 115, in _main
File “multiprocessing\spawn.py”, line 115, in _main
File “multiprocessing\spawn.py”, line 105, in spawn_main
File “D:\deepfake\DeepFaceLab_NVIDIA_RTX3000_series\_internal\DeepFaceLab\samplelib\__init__.py”, line 1, in <module>
File “D:\deepfake\DeepFaceLab_NVIDIA_RTX3000_series\_internal\DeepFaceLab\samplelib\__init__.py”, line 1, in <module>
File “D:\deepfake\DeepFaceLab_NVIDIA_RTX3000_series\_internal\DeepFaceLab\samplelib\Sample.py”, line 4, in <module>
File “D:\deepfake\DeepFaceLab_NVIDIA_RTX3000_series\_internal\DeepFaceLab\samplelib\__init__.py”, line 1, in <module>
File “D:\deepfake\DeepFaceLab_NVIDIA_RTX3000_series\_internal\DeepFaceLab\samplelib\__init__.py”, line 1, in <module>
File “multiprocessing\spawn.py”, line 115, in _main
from .Sample import Sample
from .Sample import Sample
import cv2
from .Sample import Sample
from .Sample import Sample
File “D:\deepfake\DeepFaceLab_NVIDIA_RTX3000_series\_internal\DeepFaceLab\samplelib\__init__.py”, line 1, in <module>
File “D:\deepfake\DeepFaceLab_NVIDIA_RTX3000_series\_internal\DeepFaceLab\samplelib\Sample.py”, line 7, in <module>
File “D:\deepfake\DeepFaceLab_NVIDIA_RTX3000_series\_internal\DeepFaceLab\samplelib\Sample.py”, line 4, in <module>
File “D:\deepfake\DeepFaceLab_NVIDIA_RTX3000_series\_internal\python-3.6.8\lib\site-packages\cv2\__init__.py”, line 3, in <module>
File “D:\deepfake\DeepFaceLab_NVIDIA_RTX3000_series\_internal\DeepFaceLab\samplelib\Sample.py”, line 4, in <module>
File “D:\deepfake\DeepFaceLab_NVIDIA_RTX3000_series\_internal\DeepFaceLab\samplelib\Sample.py”, line 4, in <module>
from .Sample import Sample
from core.cv2ex import *
import cv2
from .cv2 import *
import cv2
import cv2
File “D:\deepfake\DeepFaceLab_NVIDIA_RTX3000_series\_internal\DeepFaceLab\samplelib\Sample.py”, line 4, in <module>
File “D:\deepfake\DeepFaceLab_NVIDIA_RTX3000_series\_internal\DeepFaceLab\core\cv2ex.py”, line 4, in <module>
File “D:\deepfake\DeepFaceLab_NVIDIA_RTX3000_series\_internal\python-3.6.8\lib\site-packages\cv2\__init__.py”, line 3, in <module>
ImportError: numpy.core.multiarray failed to import
File “D:\deepfake\DeepFaceLab_NVIDIA_RTX3000_series\_internal\python-3.6.8\lib\site-packages\cv2\__init__.py”, line 3, in <module>
File “D:\deepfake\DeepFaceLab_NVIDIA_RTX3000_series\_internal\python-3.6.8\lib\site-packages\cv2\__init__.py”, line 3, in <module>
import cv2
from core.interact import interact as io
from .cv2 import *
from .cv2 import *
from .cv2 import *
File “D:\deepfake\DeepFaceLab_NVIDIA_RTX3000_series\_internal\python-3.6.8\lib\site-packages\cv2\__init__.py”, line 3, in <module>
File “D:\deepfake\DeepFaceLab_NVIDIA_RTX3000_series\_internal\DeepFaceLab\core\interact\__init__.py”, line 1, in <module>
ImportError: numpy.core.multiarray failed to import
ImportError: numpy.core.multiarray failed to import
ImportError: numpy.core.multiarray failed to import
from .cv2 import *
from .interact import interact
ImportError: numpy.core.multiarray failed to import
File “D:\deepfake\DeepFaceLab_NVIDIA_RTX3000_series\_internal\DeepFaceLab\core\interact\interact.py”, line 11, in <module>
from tqdm import tqdm
File “D:\deepfake\DeepFaceLab_NVIDIA_RTX3000_series\_internal\python-3.6.8\lib\site-packages\tqdm\__init__.py”, line 3, in <module>
from .cli import main # TODO: remove in v5.0.0
File “D:\deepfake\DeepFaceLab_NVIDIA_RTX3000_series\_internal\python-3.6.8\lib\site-packages\tqdm\cli.py”, line 9, in <module>
from .std import TqdmKeyError, TqdmTypeError, tqdm
File “<frozen importlib._bootstrap>”, line 971, in _find_and_load
File “<frozen importlib._bootstrap>”, line 955, in _find_and_load_unlocked
File “<frozen importlib._bootstrap>”, line 665, in _load_unlocked
File “<frozen importlib._bootstrap_external>”, line 674, in exec_module
File “<frozen importlib._bootstrap_external>”, line 771, in get_code
File “<frozen importlib._bootstrap_external>”, line 482, in _validate_bytecode_header
MemoryError

Hi, Everyone! My friend is using Deepfake for our film project and he finds this error when using higher resolution files: Error 32, Broken Pipe Error.
Here is some of the error trace code. Any help to solve this problem is very welcome!

Exception in thread Thread-57:
Traceback (most recent call last):
File “threading.py”, line 916, in _bootstrap_inner
File “threading.py”, line 864, in run
File “G:\DeepFaceLab_NVIDIA_RTX3000_series\_internal\DeepFaceLab\core\joblib\SubprocessGenerator.py”, line 11, in launch_thread
generator._start()
File “G:\DeepFaceLab_NVIDIA_RTX3000_series\_internal\DeepFaceLab\core\joblib\SubprocessGenerator.py”, line 43, in _start
p.start()
File “multiprocessing\process.py”, line 105, in start
File “multiprocessing\context.py”, line 223, in _Popen
File “multiprocessing\context.py”, line 322, in _Popen
File “multiprocessing\popen_spawn_win32.py”, line 65, in __init__
File “multiprocessing\reduction.py”, line 60, in dump
BrokenPipeError: [Errno 32] Broken pipe

Added more videos to the DeepFaceLab tutorials section.

Added Open Graph tags for better shared link previews.

Hi,

I just tried to run DeepFaceLab in DX12 version on a freshly installed server with Win 10. But unfortunately already when extracting the images from the video I get an error.

I myself can think of two sources of error. One is that there is no GPU installed, or that there are two CPUs.

The “10.misc) make CPU only.bat” brings unfortunately also only one error.

Hi all, I’m a newb, I’m using the DeepFaceLab_DirectX12, but there is no “export Quick96 as dfm”, only AMP & Saehd to dfm. Please advise. Thank you

[deepfakeryKeymaster]

I just noticed something else in the path to your DFL:
“C:\Users\aronk\Desktop\11.20. DeepFaceLab_NVIDIA_up_to_RTX2080Ti”
Try having it in your C: directory not the desktop, and remove the space in the folder name

[deepfakeryKeymaster]

Hey Aron,
I just posted a guide which might help. It has some recommendations for DeepFaceLab system optimization.

DeepFaceLab 2.0 Guide

You card doesn’t have much VRAM available which is going to be the major problem, even with really low settings.
Check out this table: https://www.deepfakevfx.com/guides/model-training-settings/
You might need to disable the -U and/or -D model options. Try these settings: LIAE/112/256/64/64/22

Also were you able to run Quick96 at all?

[Anonymous]

Thanks for your answer.
I implemented the first two suggestions, but still got an error message.
When I try train Quick 96, the error message also appears.
What do you mean with the last point:”Might also try increasing your page file size.”
Can you explain that in a bit more detail?
Best regards
aron

Running trainer.

[new] No saved models found. Enter a name of a new model :
new

Model first run.

Choose one or several GPU idxs (separated by comma).

[CPU] : CPU
[0] : NVIDIA GeForce GTX 950M

[0] Which GPU indexes to choose? : 0
0

[0] Autobackup every N hour ( 0..24 ?:help ) :
0
[n] Write preview history ( y/n ?:help ) :
n
[10] Target iteration :
10
[n] Flip SRC faces randomly ( y/n ?:help ) :
n
[y] Flip DST faces randomly ( y/n ?:help ) :
y
[2] Batch_size ( ?:help ) :
2
[64] Resolution ( 64-640 ?:help ) :
64
[f] Face type ( h/mf/f/wf/head ?:help ) :
f
[liae-ud] AE architecture ( ?:help ) :
liae-ud
[256] AutoEncoder dimensions ( 32-1024 ?:help ) :
256
[64] Encoder dimensions ( 16-256 ?:help ) :
64
[64] Decoder dimensions ( 16-256 ?:help ) :
64
[22] Decoder mask dimensions ( 16-256 ?:help ) :
22
[n] Eyes and mouth priority ( y/n ?:help ) :
n
[n] Uniform yaw distribution of samples ( y/n ?:help ) :
n
[n] Blur out mask ( y/n ?:help ) :
n
[n] Place models and optimizer on GPU ( y/n ?:help ) :
n
[n] Use AdaBelief optimizer? ( y/n ?:help ) :
n
[n] Use learning rate dropout ( n/y/cpu ?:help ) :
n
[y] Enable random warp of samples ( y/n ?:help ) :
y
[0.0] Random hue/saturation/light intensity ( 0.0 .. 0.3 ?:help ) :
0.0
[0.0] GAN power ( 0.0 .. 5.0 ?:help ) :
0.0
[0.0] Face style power ( 0.0..100.0 ?:help ) :
0.0
[0.0] Background style power ( 0.0..100.0 ?:help ) :
0.0
[none] Color transfer for src faceset ( none/rct/lct/mkl/idt/sot ?:help ) :
none
[n] Enable gradient clipping ( y/n ?:help ) :
n
[n] Enable pretraining mode ( y/n ?:help ) :
n
Initializing models: 100%|###############################################################| 5/5 [00:02<00:00, 1.72it/s]
Loading samples: 100%|###############################################################| 461/461 [00:41<00:00, 11.06it/s]
Loading samples: 100%|###############################################################| 399/399 [00:38<00:00, 10.41it/s]
Process Process-13:
Traceback (most recent call last):
File “C:\Users\aronk\Desktop\11.20. DeepFaceLab_NVIDIA_up_to_RTX2080Ti\_internal\DeepFaceLab\samplelib\SampleGeneratorFace.py”, line 134, in batch_func
x, = SampleProcessor.process ([sample], self.sample_process_options, self.output_sample_types, self.debug, ct_sample=ct_sample)
File “C:\Users\aronk\Desktop\11.20. DeepFaceLab_NVIDIA_up_to_RTX2080Ti\_internal\DeepFaceLab\samplelib\SampleProcessor.py”, line 145, in process
img = get_eyes_mouth_mask()*mask
File “C:\Users\aronk\Desktop\11.20. DeepFaceLab_NVIDIA_up_to_RTX2080Ti\_internal\DeepFaceLab\samplelib\SampleProcessor.py”, line 80, in get_eyes_mouth_mask
return np.clip(mask, 0, 1)
File “<__array_function__ internals>”, line 6, in clip
File “C:\Users\aronk\Desktop\11.20. DeepFaceLab_NVIDIA_up_to_RTX2080Ti\_internal\python-3.6.8\lib\site-packages\numpy\core\fromnumeric.py”, line 2097, in clip
return _wrapfunc(a, ‘clip’, a_min, a_max, out=out, **kwargs)
File “C:\Users\aronk\Desktop\11.20. DeepFaceLab_NVIDIA_up_to_RTX2080Ti\_internal\python-3.6.8\lib\site-packages\numpy\core\fromnumeric.py”, line 58, in _wrapfunc
return bound(*args, **kwds)
File “C:\Users\aronk\Desktop\11.20. DeepFaceLab_NVIDIA_up_to_RTX2080Ti\_internal\python-3.6.8\lib\site-packages\numpy\core\_methods.py”, line 141, in _clip
um.clip, a, min, max, out=out, casting=casting, **kwargs)
File “C:\Users\aronk\Desktop\11.20. DeepFaceLab_NVIDIA_up_to_RTX2080Ti\_internal\python-3.6.8\lib\site-packages\numpy\core\_methods.py”, line 94, in _clip_dep_invoke_with_casting
return ufunc(*args, out=out, **kwargs)
MemoryError: Unable to allocate 16.0 MiB for an array with shape (2048, 2048, 1) and data type float32

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File “multiprocessing\process.py”, line 258, in _bootstrap
File “multiprocessing\process.py”, line 93, in run
File “C:\Users\aronk\Desktop\11.20. DeepFaceLab_NVIDIA_up_to_RTX2080Ti\_internal\DeepFaceLab\core\joblib\SubprocessGenerator.py”, line 54, in process_func
gen_data = next (self.generator_func)
File “C:\Users\aronk\Desktop\11.20. DeepFaceLab_NVIDIA_up_to_RTX2080Ti\_internal\DeepFaceLab\samplelib\SampleGeneratorFace.py”, line 136, in batch_func
raise Exception (“Exception occured in sample %s. Error: %s” % (sample.filename, traceback.format_exc() ) )
Exception: Exception occured in sample C:\Users\aronk\Desktop\11.20. DeepFaceLab_NVIDIA_up_to_RTX2080Ti\workspace\data_dst\aligned\00081_0.jpg. Error: Traceback (most recent call last):
File “C:\Users\aronk\Desktop\11.20. DeepFaceLab_NVIDIA_up_to_RTX2080Ti\_internal\DeepFaceLab\samplelib\SampleGeneratorFace.py”, line 134, in batch_func
x, = SampleProcessor.process ([sample], self.sample_process_options, self.output_sample_types, self.debug, ct_sample=ct_sample)
File “C:\Users\aronk\Desktop\11.20. DeepFaceLab_NVIDIA_up_to_RTX2080Ti\_internal\DeepFaceLab\samplelib\SampleProcessor.py”, line 145, in process
img = get_eyes_mouth_mask()*mask
File “C:\Users\aronk\Desktop\11.20. DeepFaceLab_NVIDIA_up_to_RTX2080Ti\_internal\DeepFaceLab\samplelib\SampleProcessor.py”, line 80, in get_eyes_mouth_mask
return np.clip(mask, 0, 1)
File “<__array_function__ internals>”, line 6, in clip
File “C:\Users\aronk\Desktop\11.20. DeepFaceLab_NVIDIA_up_to_RTX2080Ti\_internal\python-3.6.8\lib\site-packages\numpy\core\fromnumeric.py”, line 2097, in clip
return _wrapfunc(a, ‘clip’, a_min, a_max, out=out, **kwargs)
File “C:\Users\aronk\Desktop\11.20. DeepFaceLab_NVIDIA_up_to_RTX2080Ti\_internal\python-3.6.8\lib\site-packages\numpy\core\fromnumeric.py”, line 58, in _wrapfunc
return bound(*args, **kwds)
File “C:\Users\aronk\Desktop\11.20. DeepFaceLab_NVIDIA_up_to_RTX2080Ti\_internal\python-3.6.8\lib\site-packages\numpy\core\_methods.py”, line 141, in _clip
um.clip, a, min, max, out=out, casting=casting, **kwargs)
File “C:\Users\aronk\Desktop\11.20. DeepFaceLab_NVIDIA_up_to_RTX2080Ti\_internal\python-3.6.8\lib\site-packages\numpy\core\_methods.py”, line 94, in _clip_dep_invoke_with_casting
return ufunc(*args, out=out, **kwargs)
MemoryError: Unable to allocate 16.0 MiB for an array with shape (2048, 2048, 1) and data type float32

Drücken Sie eine beliebige Taste . . .

You can enable uniform pitch in DeepFaceLab by making a minor code modification to the file SampleGeneratorFace.py

Step 1: Navigate to My_DeepFaceLab_Directory/_internal/DeepFaceLab/samplelib/
Step 2: Make a backup copy of the file SampleGeneratorFace.py
Step 3: Open the file SampleGeneratorFace.py in an IDE or text editor
Step 4: Modify line 66
Original Code:
s_yaw = -pyr[1]
New Code:
s_yaw = -pyr[0]
Step 5: Save the file.
Step 6: In the trainer, enable Uniform Yaw (uniform_yaw). The console output will still display “uniform yaw” however the code modification will use pitch instead.
Step 7: To switch back to pitch, either revert the code, or change the filename and use your backup.