iperov
NEW to DFL wanna try it with the DFL, it works fine with 3090 but cant run SAEHD with 4080 HELP! Can run with QUICK tho
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 RTX 4080
[0] Which GPU indexes to choose? : 0
[0] Autobackup every N hour ( 0..24 ?:help ) :
0
[n] Write preview history ( y/n ?:help ) :
n
[0] Target iteration :
0
[n] Flip SRC faces randomly ( y/n ?:help ) :
n
[y] Flip DST faces randomly ( y/n ?:help ) :
y
[8] Batch_size ( ?:help ) : 12
12
[128] Resolution ( 64-640 ?:help ) : 320
320
[f] Face type ( h/mf/f/wf/head ?:help ) : wf
wf
[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
[y] Masked training ( y/n ?:help ) :
y
[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
[y] Place models and optimizer on GPU ( y/n ?:help ) :
y
[y] Use AdaBelief optimizer? ( y/n ?:help ) :
y
[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 [00:01<00:00, 3.10it/s]
Loading samples: 100%|############################################################| 1053/1053 [00:04<00:00, 231.28it/s]
Traceback (most recent call last):
File "
File "F:\DeepFaceLab_NVIDIA_RTX3000_series_internal\DeepFaceLab\core\imagelib\warp.py", line 133, in gen_warp_params
mapy = cv2.resize(mapy, (w+cell_size,)*2 )[half_cell_size:-half_cell_size,half_cell_size:-half_cell_size].astype(np.float32)
File "F:\DeepFaceLab_NVIDIA_RTX3000_series_internal\DeepFaceLab\samplelib\Sample.py", line 112, in load_bgr
img = cv2_imread (self.filename, loader_func=self.read_raw_file).astype(np.float32) / 255.0
File "F:\DeepFaceLab_NVIDIA_RTX3000_series_internal\DeepFaceLab\core\imagelib\morph.py", line 3, in
During handling of the above exception, another exception occurred:
During handling of the above exception, another exception occurred:
Traceback (most recent call last): Traceback (most recent call last): File "multiprocessing\process.py", line 258, in _bootstrap File "multiprocessing\process.py", line 258, in _bootstrap File "multiprocessing\process.py", line 93, in run File "multiprocessing\process.py", line 93, in run File "F:\DeepFaceLab_NVIDIA_RTX3000_series_internal\DeepFaceLab\core\joblib\SubprocessGenerator.py", line 54, in process_func gen_data = next (self.generator_func) File "F:\DeepFaceLab_NVIDIA_RTX3000_series_internal\DeepFaceLab\core\joblib\SubprocessGenerator.py", line 54, in process_func gen_data = next (self.generator_func) File "F:\DeepFaceLab_NVIDIA_RTX3000_series_internal\DeepFaceLab\samplelib\SampleGeneratorFace.py", line 136, in batch_func raise Exception ("Exception occured in sample %s. Error: %s" % (sample.filename, traceback.format_exc() ) ) File "F:\DeepFaceLab_NVIDIA_RTX3000_series_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 F:\DeepFaceLab_NVIDIA_RTX3000_series\workspace\data_src\aligned\00731_0.jpg. Error: Traceback (most recent call last): File "F:\DeepFaceLab_NVIDIA_RTX3000_series_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 "F:\DeepFaceLab_NVIDIA_RTX3000_series_internal\DeepFaceLab\samplelib\SampleProcessor.py", line 113, in process warp_rnd_state=warp_rnd_state, File "F:\DeepFaceLab_NVIDIA_RTX3000_series_internal\DeepFaceLab\core\imagelib\warp.py", line 133, in gen_warp_params mapy = cv2.resize(mapy, (w+cell_size,)*2 )[half_cell_size:-half_cell_size,half_cell_size:-half_cell_size].astype(np.float32) MemoryError: Unable to allocate 400. KiB for an array with shape (320, 320) and data type float32
Exception: Exception occured in sample F:\DeepFaceLab_NVIDIA_RTX3000_series\workspace\data_src\aligned\01047_0.jpg. Error: Traceback (most recent call last): File "F:\DeepFaceLab_NVIDIA_RTX3000_series_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 "F:\DeepFaceLab_NVIDIA_RTX3000_series_internal\DeepFaceLab\samplelib\SampleProcessor.py", line 56, in process sample_bgr = sample.load_bgr() File "F:\DeepFaceLab_NVIDIA_RTX3000_series_internal\DeepFaceLab\samplelib\Sample.py", line 112, in load_bgr img = cv2_imread (self.filename, loader_func=self.read_raw_file).astype(np.float32) / 255.0 MemoryError: Unable to allocate 3.00 MiB for an array with shape (512, 512, 3) and data type float32
from scipy.spatial import Delaunay
File "F:\DeepFaceLab_NVIDIA_RTX3000_series_internal\python-3.6.8\lib\site-packages\scipy\spatial_init_.py", line 97, in
Does it work with lower resolutions apart from 320?
Are you sure that your paging file can be large enough in the OS? Try increasing the buffer amount on, preferably, a fast SSD.
Issue solved / already answered (or it seems like user error), please close it.