SAED does not work

Home Forums DeepFaceLab Training SAED does not work

  • This topic has 6 replies, 2 voices, and was last updated 1 year ago by aron.
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  • #3191
    aron
    Participant

      Training with SEAD does not work.
      I did all the steps up to step 6.
      The training with xseg also worked, but SAED does not work.
      I don’t know what I’m doing wrong. Please help me.

      Best regards
      aron

      Here are my parameters:

      Running trainer.

      [new] No saved models found. Enter a name of a new model : head20
      head20

      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
      [0] Target iteration : 10
      10
      [n] Flip SRC faces randomly ( y/n ?:help ) :
      n
      [y] Flip DST faces randomly ( y/n ?:help ) :
      y
      [4] Batch_size ( ?:help ) : 2
      2
      [128] Resolution ( 64-640 ?:help ) : 64
      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
      [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 [00:04<00:00, 1.23it/s]
      Loading samples: 100%|###############################################################| 461/461 [00:40<00:00, 11.50it/s]
      Loading samples: 100%|###############################################################| 399/399 [00:38<00:00, 10.44it/s]
      ================== Model Summary ===================
      == ==
      == Model name: head20_SAEHD ==
      == ==
      == Current iteration: 0 ==
      == ==
      ==—————- Model Options —————–==
      == ==
      == resolution: 64 ==
      == face_type: f ==
      == models_opt_on_gpu: True ==
      == archi: liae-ud ==
      == ae_dims: 256 ==
      == e_dims: 64 ==
      == d_dims: 64 ==
      == d_mask_dims: 22 ==
      == masked_training: True ==
      == eyes_mouth_prio: False ==
      == uniform_yaw: False ==
      == blur_out_mask: False ==
      == adabelief: True ==
      == lr_dropout: n ==
      == random_warp: True ==
      == random_hsv_power: 0.0 ==
      == true_face_power: 0.0 ==
      == face_style_power: 0.0 ==
      == bg_style_power: 0.0 ==
      == ct_mode: none ==
      == clipgrad: False ==
      == pretrain: False ==
      == autobackup_hour: 0 ==
      == write_preview_history: False ==
      == target_iter: 10 ==
      == random_src_flip: False ==
      == random_dst_flip: True ==
      == batch_size: 2 ==
      == gan_power: 0.0 ==
      == gan_patch_size: 8 ==
      == gan_dims: 16 ==
      == ==
      ==—————— Running On ——————==
      == ==
      == Device index: 0 ==
      == Name: NVIDIA GeForce GTX 950M ==
      == VRAM: 1.35GB ==
      == ==
      ====================================================
      Starting. Target iteration: 10. Press “Enter” to stop training and save model.

      Trying to do the first iteration. If an error occurs, reduce the model parameters.

      !!!
      Windows 10 users IMPORTANT notice. You should set this setting in order to work correctly.

      View post on imgur.com


      !!!
      You are training the model from scratch. It is strongly recommended to use a pretrained model to speed up the training and improve the quality.

      #3225
      deepfakery
      Keymaster

        Are you getting an OOM error?
        Your card doesn’t have much VRAM so you need to disable some things. Try either or both of these:

        [y] Place models and optimizer on GPU ( y/n ?:help ) :
        n
        [y] Use AdaBelief optimizer? ( y/n ?:help ) :
        n

        Might also try increasing your page file size.

        #3564
        aron
        Participant

          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 . . .

          #3563
          aron
          Participant

            Thanks for your answer.
            I implemented the first two suggestions, but still got an error message.
            What do you mean by 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
            [0] Target iteration : 10
            10
            [n] Flip SRC faces randomly ( y/n ?:help ) :
            n
            [y] Flip DST faces randomly ( y/n ?:help ) :
            y
            [4] Batch_size ( ?:help ) : 2
            2
            [128] Resolution ( 64-640 ?:help ) : 64
            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
            [y] Place models and optimizer on GPU ( y/n ?:help ) : n
            [y] 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 [00:03<00:00, 1.64it/s]
            Loading samples: 100%|###############################################################| 461/461 [00:38<00:00, 11.91it/s]
            Loading samples: 100%|###############################################################| 399/399 [00:35<00:00, 11.09it/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 78, in get_eyes_mouth_mask
            mouth_mask = LandmarksProcessor.get_image_mouth_mask (sample_bgr.shape, sample_landmarks)
            File “C:\Users\aronk\Desktop\11.20. DeepFaceLab_NVIDIA_up_to_RTX2080Ti\_internal\DeepFaceLab\facelib\LandmarksProcessor.py”, line 447, in get_image_mouth_mask
            hull_mask = cv2.dilate(hull_mask, cv2.getStructuringElement(cv2.MORPH_ELLIPSE,(dilate,dilate)), iterations = 1 )
            cv2.error: OpenCV(4.1.0) C:\projects\opencv-python\opencv\modules\core\src\alloc.cpp:55: error: (-4:Insufficient memory) Failed to allocate 16777216 bytes in function ‘cv::OutOfMemoryError’

            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\00229_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 78, in get_eyes_mouth_mask
            mouth_mask = LandmarksProcessor.get_image_mouth_mask (sample_bgr.shape, sample_landmarks)
            File “C:\Users\aronk\Desktop\11.20. DeepFaceLab_NVIDIA_up_to_RTX2080Ti\_internal\DeepFaceLab\facelib\LandmarksProcessor.py”, line 447, in get_image_mouth_mask
            hull_mask = cv2.dilate(hull_mask, cv2.getStructuringElement(cv2.MORPH_ELLIPSE,(dilate,dilate)), iterations = 1 )
            cv2.error: OpenCV(4.1.0) C:\projects\opencv-python\opencv\modules\core\src\alloc.cpp:55: error: (-4:Insufficient memory) Failed to allocate 16777216 bytes in function ‘cv::OutOfMemoryError’

            ================== Model Summary ===================
            == ==
            == Model name: new_SAEHD ==
            == ==
            == Current iteration: 0 ==
            == ==
            ==—————- Model Options —————–==
            == ==
            == resolution: 64 ==
            == face_type: f ==
            == models_opt_on_gpu: False ==
            == archi: liae-ud ==
            == ae_dims: 256 ==
            == e_dims: 64 ==
            == d_dims: 64 ==
            == d_mask_dims: 22 ==
            == masked_training: True ==
            == eyes_mouth_prio: False ==
            == uniform_yaw: False ==
            == blur_out_mask: False ==
            == adabelief: False ==
            == lr_dropout: n ==
            == random_warp: True ==
            == random_hsv_power: 0.0 ==
            == true_face_power: 0.0 ==
            == face_style_power: 0.0 ==
            == bg_style_power: 0.0 ==
            == ct_mode: none ==
            == clipgrad: False ==
            == pretrain: False ==
            == autobackup_hour: 0 ==
            == write_preview_history: False ==
            == target_iter: 10 ==
            == random_src_flip: False ==
            == random_dst_flip: True ==
            == batch_size: 2 ==
            == gan_power: 0.0 ==
            == gan_patch_size: 8 ==
            == gan_dims: 16 ==
            == ==
            ==—————— Running On ——————==
            == ==
            == Device index: 0 ==
            == Name: NVIDIA GeForce GTX 950M ==
            == VRAM: 1.35GB ==
            == ==
            ====================================================
            Starting. Target iteration: 10. Press “Enter” to stop training and save model.

            Trying to do the first iteration. If an error occurs, reduce the model parameters.

            !!!
            Windows 10 users IMPORTANT notice. You should set this setting in order to work correctly.

            View post on imgur.com


            !!!
            You are training the model from scratch. It is strongly recommended to use a pretrained model to speed up the training and improve the quality.

            Error: Could not allocate ndarray
            Traceback (most recent call last):
            File “C:\Users\aronk\Desktop\11.20. DeepFaceLab_NVIDIA_up_to_RTX2080Ti\_internal\python-3.6.8\lib\site-packages\tensorflow\python\client\session.py”, line 1334, in _do_call
            return fn(*args)
            File “C:\Users\aronk\Desktop\11.20. DeepFaceLab_NVIDIA_up_to_RTX2080Ti\_internal\python-3.6.8\lib\site-packages\tensorflow\python\client\session.py”, line 1319, in _run_fn
            options, feed_dict, fetch_list, target_list, run_metadata)
            File “C:\Users\aronk\Desktop\11.20. DeepFaceLab_NVIDIA_up_to_RTX2080Ti\_internal\python-3.6.8\lib\site-packages\tensorflow\python\client\session.py”, line 1407, in _call_tf_sessionrun
            run_metadata)
            tensorflow.python.framework.errors_impl.InternalError: Could not allocate ndarray

            During handling of the above exception, another exception occurred:

            Traceback (most recent call last):
            File “C:\Users\aronk\Desktop\11.20. DeepFaceLab_NVIDIA_up_to_RTX2080Ti\_internal\DeepFaceLab\mainscripts\Trainer.py”, line 159, in trainerThread
            model_save()
            File “C:\Users\aronk\Desktop\11.20. DeepFaceLab_NVIDIA_up_to_RTX2080Ti\_internal\DeepFaceLab\mainscripts\Trainer.py”, line 68, in model_save
            model.save()
            File “C:\Users\aronk\Desktop\11.20. DeepFaceLab_NVIDIA_up_to_RTX2080Ti\_internal\DeepFaceLab\models\ModelBase.py”, line 393, in save
            self.onSave()
            File “C:\Users\aronk\Desktop\11.20. DeepFaceLab_NVIDIA_up_to_RTX2080Ti\_internal\DeepFaceLab\models\Model_SAEHD\Model.py”, line 759, in onSave
            model.save_weights ( self.get_strpath_storage_for_file(filename) )
            File “C:\Users\aronk\Desktop\11.20. DeepFaceLab_NVIDIA_up_to_RTX2080Ti\_internal\DeepFaceLab\core\leras\layers\Saveable.py”, line 51, in save_weights
            w_val = nn.tf_sess.run (w).copy()
            File “C:\Users\aronk\Desktop\11.20. DeepFaceLab_NVIDIA_up_to_RTX2080Ti\_internal\python-3.6.8\lib\site-packages\tensorflow\python\client\session.py”, line 929, in run
            run_metadata_ptr)
            File “C:\Users\aronk\Desktop\11.20. DeepFaceLab_NVIDIA_up_to_RTX2080Ti\_internal\python-3.6.8\lib\site-packages\tensorflow\python\client\session.py”, line 1152, in _run
            feed_dict_tensor, options, run_metadata)
            File “C:\Users\aronk\Desktop\11.20. DeepFaceLab_NVIDIA_up_to_RTX2080Ti\_internal\python-3.6.8\lib\site-packages\tensorflow\python\client\session.py”, line 1328, in _do_run
            run_metadata)
            File “C:\Users\aronk\Desktop\11.20. DeepFaceLab_NVIDIA_up_to_RTX2080Ti\_internal\python-3.6.8\lib\site-packages\tensorflow\python\client\session.py”, line 1348, in _do_call
            raise type(e)(node_def, op, message)
            tensorflow.python.framework.errors_impl.InternalError: Could not allocate ndarray

            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
            [0] Target iteration : 10
            10
            [n] Flip SRC faces randomly ( y/n ?:help ) :
            n
            [y] Flip DST faces randomly ( y/n ?:help ) :
            y
            [4] Batch_size ( ?:help ) : 2
            2
            [128] Resolution ( 64-640 ?:help ) : 64
            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
            [y] Place models and optimizer on GPU ( y/n ?:help ) : n
            [y] 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 [00:03<00:00, 1.64it/s]
            Loading samples: 100%|###############################################################| 461/461 [00:38<00:00, 11.91it/s]
            Loading samples: 100%|###############################################################| 399/399 [00:35<00:00, 11.09it/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 78, in get_eyes_mouth_mask
            mouth_mask = LandmarksProcessor.get_image_mouth_mask (sample_bgr.shape, sample_landmarks)
            File “C:\Users\aronk\Desktop\11.20. DeepFaceLab_NVIDIA_up_to_RTX2080Ti\_internal\DeepFaceLab\facelib\LandmarksProcessor.py”, line 447, in get_image_mouth_mask
            hull_mask = cv2.dilate(hull_mask, cv2.getStructuringElement(cv2.MORPH_ELLIPSE,(dilate,dilate)), iterations = 1 )
            cv2.error: OpenCV(4.1.0) C:\projects\opencv-python\opencv\modules\core\src\alloc.cpp:55: error: (-4:Insufficient memory) Failed to allocate 16777216 bytes in function ‘cv::OutOfMemoryError’

            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\00229_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 78, in get_eyes_mouth_mask
            mouth_mask = LandmarksProcessor.get_image_mouth_mask (sample_bgr.shape, sample_landmarks)
            File “C:\Users\aronk\Desktop\11.20. DeepFaceLab_NVIDIA_up_to_RTX2080Ti\_internal\DeepFaceLab\facelib\LandmarksProcessor.py”, line 447, in get_image_mouth_mask
            hull_mask = cv2.dilate(hull_mask, cv2.getStructuringElement(cv2.MORPH_ELLIPSE,(dilate,dilate)), iterations = 1 )
            cv2.error: OpenCV(4.1.0) C:\projects\opencv-python\opencv\modules\core\src\alloc.cpp:55: error: (-4:Insufficient memory) Failed to allocate 16777216 bytes in function ‘cv::OutOfMemoryError’

            ================== Model Summary ===================
            == ==
            == Model name: new_SAEHD ==
            == ==
            == Current iteration: 0 ==
            == ==
            ==—————- Model Options —————–==
            == ==
            == resolution: 64 ==
            == face_type: f ==
            == models_opt_on_gpu: False ==
            == archi: liae-ud ==
            == ae_dims: 256 ==
            == e_dims: 64 ==
            == d_dims: 64 ==
            == d_mask_dims: 22 ==
            == masked_training: True ==
            == eyes_mouth_prio: False ==
            == uniform_yaw: False ==
            == blur_out_mask: False ==
            == adabelief: False ==
            == lr_dropout: n ==
            == random_warp: True ==
            == random_hsv_power: 0.0 ==
            == true_face_power: 0.0 ==
            == face_style_power: 0.0 ==
            == bg_style_power: 0.0 ==
            == ct_mode: none ==
            == clipgrad: False ==
            == pretrain: False ==
            == autobackup_hour: 0 ==
            == write_preview_history: False ==
            == target_iter: 10 ==
            == random_src_flip: False ==
            == random_dst_flip: True ==
            == batch_size: 2 ==
            == gan_power: 0.0 ==
            == gan_patch_size: 8 ==
            == gan_dims: 16 ==
            == ==
            ==—————— Running On ——————==
            == ==
            == Device index: 0 ==
            == Name: NVIDIA GeForce GTX 950M ==
            == VRAM: 1.35GB ==
            == ==
            ====================================================
            Starting. Target iteration: 10. Press “Enter” to stop training and save model.

            Trying to do the first iteration. If an error occurs, reduce the model parameters.

            !!!
            Windows 10 users IMPORTANT notice. You should set this setting in order to work correctly.

            View post on imgur.com


            !!!
            You are training the model from scratch. It is strongly recommended to use a pretrained model to speed up the training and improve the quality.

            Error: Could not allocate ndarray
            Traceback (most recent call last):
            File “C:\Users\aronk\Desktop\11.20. DeepFaceLab_NVIDIA_up_to_RTX2080Ti\_internal\python-3.6.8\lib\site-packages\tensorflow\python\client\session.py”, line 1334, in _do_call
            return fn(*args)
            File “C:\Users\aronk\Desktop\11.20. DeepFaceLab_NVIDIA_up_to_RTX2080Ti\_internal\python-3.6.8\lib\site-packages\tensorflow\python\client\session.py”, line 1319, in _run_fn
            options, feed_dict, fetch_list, target_list, run_metadata)
            File “C:\Users\aronk\Desktop\11.20. DeepFaceLab_NVIDIA_up_to_RTX2080Ti\_internal\python-3.6.8\lib\site-packages\tensorflow\python\client\session.py”, line 1407, in _call_tf_sessionrun
            run_metadata)
            tensorflow.python.framework.errors_impl.InternalError: Could not allocate ndarray

            During handling of the above exception, another exception occurred:

            Traceback (most recent call last):
            File “C:\Users\aronk\Desktop\11.20. DeepFaceLab_NVIDIA_up_to_RTX2080Ti\_internal\DeepFaceLab\mainscripts\Trainer.py”, line 159, in trainerThread
            model_save()
            File “C:\Users\aronk\Desktop\11.20. DeepFaceLab_NVIDIA_up_to_RTX2080Ti\_internal\DeepFaceLab\mainscripts\Trainer.py”, line 68, in model_save
            model.save()
            File “C:\Users\aronk\Desktop\11.20. DeepFaceLab_NVIDIA_up_to_RTX2080Ti\_internal\DeepFaceLab\models\ModelBase.py”, line 393, in save
            self.onSave()
            File “C:\Users\aronk\Desktop\11.20. DeepFaceLab_NVIDIA_up_to_RTX2080Ti\_internal\DeepFaceLab\models\Model_SAEHD\Model.py”, line 759, in onSave
            model.save_weights ( self.get_strpath_storage_for_file(filename) )
            File “C:\Users\aronk\Desktop\11.20. DeepFaceLab_NVIDIA_up_to_RTX2080Ti\_internal\DeepFaceLab\core\leras\layers\Saveable.py”, line 51, in save_weights
            w_val = nn.tf_sess.run (w).copy()
            File “C:\Users\aronk\Desktop\11.20. DeepFaceLab_NVIDIA_up_to_RTX2080Ti\_internal\python-3.6.8\lib\site-packages\tensorflow\python\client\session.py”, line 929, in run
            run_metadata_ptr)
            File “C:\Users\aronk\Desktop\11.20. DeepFaceLab_NVIDIA_up_to_RTX2080Ti\_internal\python-3.6.8\lib\site-packages\tensorflow\python\client\session.py”, line 1152, in _run
            feed_dict_tensor, options, run_metadata)
            File “C:\Users\aronk\Desktop\11.20. DeepFaceLab_NVIDIA_up_to_RTX2080Ti\_internal\python-3.6.8\lib\site-packages\tensorflow\python\client\session.py”, line 1328, in _do_run
            run_metadata)
            File “C:\Users\aronk\Desktop\11.20. DeepFaceLab_NVIDIA_up_to_RTX2080Ti\_internal\python-3.6.8\lib\site-packages\tensorflow\python\client\session.py”, line 1348, in _do_call
            raise type(e)(node_def, op, message)
            tensorflow.python.framework.errors_impl.InternalError: Could not allocate ndarray

            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
            [0] Target iteration : 10
            10
            [n] Flip SRC faces randomly ( y/n ?:help ) :
            n
            [y] Flip DST faces randomly ( y/n ?:help ) :
            y
            [4] Batch_size ( ?:help ) : 2
            2
            [128] Resolution ( 64-640 ?:help ) : 64
            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
            [y] Place models and optimizer on GPU ( y/n ?:help ) : n
            [y] 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 [00:03<00:00, 1.64it/s]
            Loading samples: 100%|###############################################################| 461/461 [00:38<00:00, 11.91it/s]
            Loading samples: 100%|###############################################################| 399/399 [00:35<00:00, 11.09it/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 78, in get_eyes_mouth_mask
            mouth_mask = LandmarksProcessor.get_image_mouth_mask (sample_bgr.shape, sample_landmarks)
            File “C:\Users\aronk\Desktop\11.20. DeepFaceLab_NVIDIA_up_to_RTX2080Ti\_internal\DeepFaceLab\facelib\LandmarksProcessor.py”, line 447, in get_image_mouth_mask
            hull_mask = cv2.dilate(hull_mask, cv2.getStructuringElement(cv2.MORPH_ELLIPSE,(dilate,dilate)), iterations = 1 )
            cv2.error: OpenCV(4.1.0) C:\projects\opencv-python\opencv\modules\core\src\alloc.cpp:55: error: (-4:Insufficient memory) Failed to allocate 16777216 bytes in function ‘cv::OutOfMemoryError’

            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\00229_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 78, in get_eyes_mouth_mask
            mouth_mask = LandmarksProcessor.get_image_mouth_mask (sample_bgr.shape, sample_landmarks)
            File “C:\Users\aronk\Desktop\11.20. DeepFaceLab_NVIDIA_up_to_RTX2080Ti\_internal\DeepFaceLab\facelib\LandmarksProcessor.py”, line 447, in get_image_mouth_mask
            hull_mask = cv2.dilate(hull_mask, cv2.getStructuringElement(cv2.MORPH_ELLIPSE,(dilate,dilate)), iterations = 1 )
            cv2.error: OpenCV(4.1.0) C:\projects\opencv-python\opencv\modules\core\src\alloc.cpp:55: error: (-4:Insufficient memory) Failed to allocate 16777216 bytes in function ‘cv::OutOfMemoryError’

            ================== Model Summary ===================
            == ==
            == Model name: new_SAEHD ==
            == ==
            == Current iteration: 0 ==
            == ==
            ==—————- Model Options —————–==
            == ==
            == resolution: 64 ==
            == face_type: f ==
            == models_opt_on_gpu: False ==
            == archi: liae-ud ==
            == ae_dims: 256 ==
            == e_dims: 64 ==
            == d_dims: 64 ==
            == d_mask_dims: 22 ==
            == masked_training: True ==
            == eyes_mouth_prio: False ==
            == uniform_yaw: False ==
            == blur_out_mask: False ==
            == adabelief: False ==
            == lr_dropout: n ==
            == random_warp: True ==
            == random_hsv_power: 0.0 ==
            == true_face_power: 0.0 ==
            == face_style_power: 0.0 ==
            == bg_style_power: 0.0 ==
            == ct_mode: none ==
            == clipgrad: False ==
            == pretrain: False ==
            == autobackup_hour: 0 ==
            == write_preview_history: False ==
            == target_iter: 10 ==
            == random_src_flip: False ==
            == random_dst_flip: True ==
            == batch_size: 2 ==
            == gan_power: 0.0 ==
            == gan_patch_size: 8 ==
            == gan_dims: 16 ==
            == ==
            ==—————— Running On ——————==
            == ==
            == Device index: 0 ==
            == Name: NVIDIA GeForce GTX 950M ==
            == VRAM: 1.35GB ==
            == ==
            ====================================================
            Starting. Target iteration: 10. Press “Enter” to stop training and save model.

            Trying to do the first iteration. If an error occurs, reduce the model parameters.

            !!!
            Windows 10 users IMPORTANT notice. You should set this setting in order to work correctly.

            View post on imgur.com


            !!!
            You are training the model from scratch. It is strongly recommended to use a pretrained model to speed up the training and improve the quality.

            Error: Could not allocate ndarray
            Traceback (most recent call last):
            File “C:\Users\aronk\Desktop\11.20. DeepFaceLab_NVIDIA_up_to_RTX2080Ti\_internal\python-3.6.8\lib\site-packages\tensorflow\python\client\session.py”, line 1334, in _do_call
            return fn(*args)
            File “C:\Users\aronk\Desktop\11.20. DeepFaceLab_NVIDIA_up_to_RTX2080Ti\_internal\python-3.6.8\lib\site-packages\tensorflow\python\client\session.py”, line 1319, in _run_fn
            options, feed_dict, fetch_list, target_list, run_metadata)
            File “C:\Users\aronk\Desktop\11.20. DeepFaceLab_NVIDIA_up_to_RTX2080Ti\_internal\python-3.6.8\lib\site-packages\tensorflow\python\client\session.py”, line 1407, in _call_tf_sessionrun
            run_metadata)
            tensorflow.python.framework.errors_impl.InternalError: Could not allocate ndarray

            During handling of the above exception, another exception occurred:

            Traceback (most recent call last):
            File “C:\Users\aronk\Desktop\11.20. DeepFaceLab_NVIDIA_up_to_RTX2080Ti\_internal\DeepFaceLab\mainscripts\Trainer.py”, line 159, in trainerThread
            model_save()
            File “C:\Users\aronk\Desktop\11.20. DeepFaceLab_NVIDIA_up_to_RTX2080Ti\_internal\DeepFaceLab\mainscripts\Trainer.py”, line 68, in model_save
            model.save()
            File “C:\Users\aronk\Desktop\11.20. DeepFaceLab_NVIDIA_up_to_RTX2080Ti\_internal\DeepFaceLab\models\ModelBase.py”, line 393, in save
            self.onSave()
            File “C:\Users\aronk\Desktop\11.20. DeepFaceLab_NVIDIA_up_to_RTX2080Ti\_internal\DeepFaceLab\models\Model_SAEHD\Model.py”, line 759, in onSave
            model.save_weights ( self.get_strpath_storage_for_file(filename) )
            File “C:\Users\aronk\Desktop\11.20. DeepFaceLab_NVIDIA_up_to_RTX2080Ti\_internal\DeepFaceLab\core\leras\layers\Saveable.py”, line 51, in save_weights
            w_val = nn.tf_sess.run (w).copy()
            File “C:\Users\aronk\Desktop\11.20. DeepFaceLab_NVIDIA_up_to_RTX2080Ti\_internal\python-3.6.8\lib\site-packages\tensorflow\python\client\session.py”, line 929, in run
            run_metadata_ptr)
            File “C:\Users\aronk\Desktop\11.20. DeepFaceLab_NVIDIA_up_to_RTX2080Ti\_internal\python-3.6.8\lib\site-packages\tensorflow\python\client\session.py”, line 1152, in _run
            feed_dict_tensor, options, run_metadata)
            File “C:\Users\aronk\Desktop\11.20. DeepFaceLab_NVIDIA_up_to_RTX2080Ti\_internal\python-3.6.8\lib\site-packages\tensorflow\python\client\session.py”, line 1328, in _do_run
            run_metadata)
            File “C:\Users\aronk\Desktop\11.20. DeepFaceLab_NVIDIA_up_to_RTX2080Ti\_internal\python-3.6.8\lib\site-packages\tensorflow\python\client\session.py”, line 1348, in _do_call
            raise type(e)(node_def, op, message)
            tensorflow.python.framework.errors_impl.InternalError: Could not allocate ndarray

            #3567
            deepfakery
            Keymaster

              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?

              #3569
              deepfakery
              Keymaster

                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

                #3570
                aron
                Participant

                  Hey deepfakery,

                  thanks for your reply.
                  I’ll deal with the guide. I moved DFL to C.
                  Regarding your question: “Also were you able to run Quick96 at all?” Unfortunately, no.

                  Best regards
                  aron

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