直播live丹（带效果dfm），低配8g小显存福音。

halou大叔

这帖子必须顶下  新人小白膜拜丹师

嫣然

东西看着挺好的就是新人买不起

halou大叔

打扰了丹师，买了你的链接，我的报错，电脑显卡8G内存3050    32G内存    12400F  是不是我的配置不够，纯小白一枚，刚入丹行散修第二天。还忘你抽时间回复指点。拜谢！
启动中. 按回车键停止训练并保存进度。

保存时间|迭代次数|单次时间|SRC损失|DST损失
Error: 2 root error(s) found.
  (0) Resource exhausted: OOM when allocating tensor with shape[768,114,114] and type float on /job:localhost/replica:0/task:0/device:GPU:0 by allocator GPU_0_bfc
         [[node Pad_55 (defined at E:\MaoDeepfacelab 1120\DFL_maozhihanhua_RTX3000\_internal\DeepFaceLab\core\leras\layers\Conv2D.py:87) ]]
Hint: If you want to see a list of allocated tensors when OOM happens, add report_tensor_allocations_upon_oom to RunOptions for current allocation info. This isn't available when running in Eager mode.

         [[concat_17/concat/_1467]]
Hint: If you want to see a list of allocated tensors when OOM happens, add report_tensor_allocations_upon_oom to RunOptions for current allocation info. This isn't available when running in Eager mode.

  (1) Resource exhausted: OOM when allocating tensor with shape[768,114,114] and type float on /job:localhost/replica:0/task:0/device:GPU:0 by allocator GPU_0_bfc
         [[node Pad_55 (defined at E:\MaoDeepfacelab 1120\DFL_maozhihanhua_RTX3000\_internal\DeepFaceLab\core\leras\layers\Conv2D.py:87) ]]
Hint: If you want to see a list of allocated tensors when OOM happens, add report_tensor_allocations_upon_oom to RunOptions for current allocation info. This isn't available when running in Eager mode.

0 successful operations.
0 derived errors ignored.

Errors may have originated from an input operation.
Input Source operations connected to node Pad_55:
LeakyRelu_45 (defined at E:\MaoDeepfacelab 1120\DFL_maozhihanhua_RTX3000\_internal\DeepFaceLab\core\leras\archis\DeepFakeArchi.py:29)

Input Source operations connected to node Pad_55:
LeakyRelu_45 (defined at E:\MaoDeepfacelab 1120\DFL_maozhihanhua_RTX3000\_internal\DeepFaceLab\core\leras\archis\DeepFakeArchi.py:29)

Original stack trace for 'Pad_55':
  File "threading.py", line 884, in _bootstrap
  File "threading.py", line 916, in _bootstrap_inner
  File "threading.py", line 864, in run
  File "E:\MaoDeepfacelab 1120\DFL_maozhihanhua_RTX3000\_internal\DeepFaceLab\mainscripts\Trainer.py", line 58, in trainerThread
    debug=debug)
  File "E:\MaoDeepfacelab 1120\DFL_maozhihanhua_RTX3000\_internal\DeepFaceLab\models\ModelBase.py", line 199, in __init__
    self.on_initialize()
  File "E:\MaoDeepfacelab 1120\DFL_maozhihanhua_RTX3000\_internal\DeepFaceLab\models\Model_SAEHD\Model.py", line 425, in on_initialize
    gpu_pred_dst_dst, gpu_pred_dst_dstm = self.decoder(gpu_dst_code)
  File "E:\MaoDeepfacelab 1120\DFL_maozhihanhua_RTX3000\_internal\DeepFaceLab\core\leras\models\ModelBase.py", line 117, in __call__
    return self.forward(*args, **kwargs)
  File "E:\MaoDeepfacelab 1120\DFL_maozhihanhua_RTX3000\_internal\DeepFaceLab\core\leras\archis\DeepFakeArchi.py", line 230, in forward
    x = self.res3(x)
  File "E:\MaoDeepfacelab 1120\DFL_maozhihanhua_RTX3000\_internal\DeepFaceLab\core\leras\models\ModelBase.py", line 117, in __call__
    return self.forward(*args, **kwargs)
  File "E:\MaoDeepfacelab 1120\DFL_maozhihanhua_RTX3000\_internal\DeepFaceLab\core\leras\archis\DeepFakeArchi.py", line 84, in forward
    x = self.conv2(x)
  File "E:\MaoDeepfacelab 1120\DFL_maozhihanhua_RTX3000\_internal\DeepFaceLab\core\leras\layers\LayerBase.py", line 14, in __call__
    return self.forward(*args, **kwargs)
  File "E:\MaoDeepfacelab 1120\DFL_maozhihanhua_RTX3000\_internal\DeepFaceLab\core\leras\layers\Conv2D.py", line 87, in forward
    x = tf.pad (x, padding, mode='CONSTANT')
  File "E:\MaoDeepfacelab 1120\DFL_maozhihanhua_RTX3000\_internal\python-3.6.8\lib\site-packages\tensorflow\python\util\dispatch.py", line 206, in wrapper
    return target(*args, **kwargs)
  File "E:\MaoDeepfacelab 1120\DFL_maozhihanhua_RTX3000\_internal\python-3.6.8\lib\site-packages\tensorflow\python\ops\array_ops.py", line 3528, in pad
    result = gen_array_ops.pad(tensor, paddings, name=name)
  File "E:\MaoDeepfacelab 1120\DFL_maozhihanhua_RTX3000\_internal\python-3.6.8\lib\site-packages\tensorflow\python\ops\gen_array_ops.py", line 6487, in pad
    "Pad", input=input, paddings=paddings, name=name)
  File "E:\MaoDeepfacelab 1120\DFL_maozhihanhua_RTX3000\_internal\python-3.6.8\lib\site-packages\tensorflow\python\framework\op_def_library.py", line 750, in _apply_op_helper
    attrs=attr_protos, op_def=op_def)
  File "E:\MaoDeepfacelab 1120\DFL_maozhihanhua_RTX3000\_internal\python-3.6.8\lib\site-packages\tensorflow\python\framework\ops.py", line 3569, in _create_op_internal
    op_def=op_def)
  File "E:\MaoDeepfacelab 1120\DFL_maozhihanhua_RTX3000\_internal\python-3.6.8\lib\site-packages\tensorflow\python\framework\ops.py", line 2045, in __init__
    self._traceback = tf_stack.extract_stack_for_node(self._c_op)

Traceback (most recent call last):
  File "E:\MaoDeepfacelab 1120\DFL_maozhihanhua_RTX3000\_internal\python-3.6.8\lib\site-packages\tensorflow\python\client\session.py", line 1375, in _do_call
    return fn(*args)
  File "E:\MaoDeepfacelab 1120\DFL_maozhihanhua_RTX3000\_internal\python-3.6.8\lib\site-packages\tensorflow\python\client\session.py", line 1360, in _run_fn
    target_list, run_metadata)
  File "E:\MaoDeepfacelab 1120\DFL_maozhihanhua_RTX3000\_internal\python-3.6.8\lib\site-packages\tensorflow\python\client\session.py", line 1453, in _call_tf_sessionrun
    run_metadata)
tensorflow.python.framework.errors_impl.ResourceExhaustedError: 2 root error(s) found.
  (0) Resource exhausted: OOM when allocating tensor with shape[768,114,114] and type float on /job:localhost/replica:0/task:0/device:GPU:0 by allocator GPU_0_bfc
         [[{{node Pad_55}}]]
Hint: If you want to see a list of allocated tensors when OOM happens, add report_tensor_allocations_upon_oom to RunOptions for current allocation info. This isn't available when running in Eager mode.

         [[concat_17/concat/_1467]]
Hint: If you want to see a list of allocated tensors when OOM happens, add report_tensor_allocations_upon_oom to RunOptions for current allocation info. This isn't available when running in Eager mode.

  (1) Resource exhausted: OOM when allocating tensor with shape[768,114,114] and type float on /job:localhost/replica:0/task:0/device:GPU:0 by allocator GPU_0_bfc
         [[{{node Pad_55}}]]
Hint: If you want to see a list of allocated tensors when OOM happens, add report_tensor_allocations_upon_oom to RunOptions for current allocation info. This isn't available when running in Eager mode.

0 successful operations.
0 derived errors ignored.

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "E:\MaoDeepfacelab 1120\DFL_maozhihanhua_RTX3000\_internal\DeepFaceLab\mainscripts\Trainer.py", line 131, in trainerThread
    iter, iter_time = model.train_one_iter()
  File "E:\MaoDeepfacelab 1120\DFL_maozhihanhua_RTX3000\_internal\DeepFaceLab\models\ModelBase.py", line 480, in train_one_iter
    losses = self.onTrainOneIter()
  File "E:\MaoDeepfacelab 1120\DFL_maozhihanhua_RTX3000\_internal\DeepFaceLab\models\Model_SAEHD\Model.py", line 774, in onTrainOneIter
    src_loss, dst_loss = self.src_dst_train (warped_src, target_src, target_srcm, target_srcm_em, warped_dst, target_dst, target_dstm, target_dstm_em)
  File "E:\MaoDeepfacelab 1120\DFL_maozhihanhua_RTX3000\_internal\DeepFaceLab\models\Model_SAEHD\Model.py", line 584, in src_dst_train
    self.target_dstm_em:target_dstm_em,
  File "E:\MaoDeepfacelab 1120\DFL_maozhihanhua_RTX3000\_internal\python-3.6.8\lib\site-packages\tensorflow\python\client\session.py", line 968, in run
    run_metadata_ptr)
  File "E:\MaoDeepfacelab 1120\DFL_maozhihanhua_RTX3000\_internal\python-3.6.8\lib\site-packages\tensorflow\python\client\session.py", line 1191, in _run
    feed_dict_tensor, options, run_metadata)
  File "E:\MaoDeepfacelab 1120\DFL_maozhihanhua_RTX3000\_internal\python-3.6.8\lib\site-packages\tensorflow\python\client\session.py", line 1369, in _do_run
    run_metadata)
  File "E:\MaoDeepfacelab 1120\DFL_maozhihanhua_RTX3000\_internal\python-3.6.8\lib\site-packages\tensorflow\python\client\session.py", line 1394, in _do_call
    raise type(e)(node_def, op, message)  # pylint: disable=no-value-for-parameter
tensorflow.python.framework.errors_impl.ResourceExhaustedError: 2 root error(s) found.
  (0) Resource exhausted: OOM when allocating tensor with shape[768,114,114] and type float on /job:localhost/replica:0/task:0/device:GPU:0 by allocator GPU_0_bfc
         [[node Pad_55 (defined at E:\MaoDeepfacelab 1120\DFL_maozhihanhua_RTX3000\_internal\DeepFaceLab\core\leras\layers\Conv2D.py:87) ]]
Hint: If you want to see a list of allocated tensors when OOM happens, add report_tensor_allocations_upon_oom to RunOptions for current allocation info. This isn't available when running in Eager mode.

         [[concat_17/concat/_1467]]
Hint: If you want to see a list of allocated tensors when OOM happens, add report_tensor_allocations_upon_oom to RunOptions for current allocation info. This isn't available when running in Eager mode.

  (1) Resource exhausted: OOM when allocating tensor with shape[768,114,114] and type float on /job:localhost/replica:0/task:0/device:GPU:0 by allocator GPU_0_bfc
         [[node Pad_55 (defined at E:\MaoDeepfacelab 1120\DFL_maozhihanhua_RTX3000\_internal\DeepFaceLab\core\leras\layers\Conv2D.py:87) ]]
Hint: If you want to see a list of allocated tensors when OOM happens, add report_tensor_allocations_upon_oom to RunOptions for current allocation info. This isn't available when running in Eager mode.

0 successful operations.
0 derived errors ignored.

Errors may have originated from an input operation.
Input Source operations connected to node Pad_55:
LeakyRelu_45 (defined at E:\MaoDeepfacelab 1120\DFL_maozhihanhua_RTX3000\_internal\DeepFaceLab\core\leras\archis\DeepFakeArchi.py:29)

Input Source operations connected to node Pad_55:
LeakyRelu_45 (defined at E:\MaoDeepfacelab 1120\DFL_maozhihanhua_RTX3000\_internal\DeepFaceLab\core\leras\archis\DeepFakeArchi.py:29)

Original stack trace for 'Pad_55':
  File "threading.py", line 884, in _bootstrap
  File "threading.py", line 916, in _bootstrap_inner
  File "threading.py", line 864, in run
  File "E:\MaoDeepfacelab 1120\DFL_maozhihanhua_RTX3000\_internal\DeepFaceLab\mainscripts\Trainer.py", line 58, in trainerThread
    debug=debug)
  File "E:\MaoDeepfacelab 1120\DFL_maozhihanhua_RTX3000\_internal\DeepFaceLab\models\ModelBase.py", line 199, in __init__
    self.on_initialize()
  File "E:\MaoDeepfacelab 1120\DFL_maozhihanhua_RTX3000\_internal\DeepFaceLab\models\Model_SAEHD\Model.py", line 425, in on_initialize
    gpu_pred_dst_dst, gpu_pred_dst_dstm = self.decoder(gpu_dst_code)
  File "E:\MaoDeepfacelab 1120\DFL_maozhihanhua_RTX3000\_internal\DeepFaceLab\core\leras\models\ModelBase.py", line 117, in __call__
    return self.forward(*args, **kwargs)
  File "E:\MaoDeepfacelab 1120\DFL_maozhihanhua_RTX3000\_internal\DeepFaceLab\core\leras\archis\DeepFakeArchi.py", line 230, in forward
    x = self.res3(x)
  File "E:\MaoDeepfacelab 1120\DFL_maozhihanhua_RTX3000\_internal\DeepFaceLab\core\leras\models\ModelBase.py", line 117, in __call__
    return self.forward(*args, **kwargs)
  File "E:\MaoDeepfacelab 1120\DFL_maozhihanhua_RTX3000\_internal\DeepFaceLab\core\leras\archis\DeepFakeArchi.py", line 84, in forward
    x = self.conv2(x)
  File "E:\MaoDeepfacelab 1120\DFL_maozhihanhua_RTX3000\_internal\DeepFaceLab\core\leras\layers\LayerBase.py", line 14, in __call__
    return self.forward(*args, **kwargs)
  File "E:\MaoDeepfacelab 1120\DFL_maozhihanhua_RTX3000\_internal\DeepFaceLab\core\leras\layers\Conv2D.py", line 87, in forward
    x = tf.pad (x, padding, mode='CONSTANT')
  File "E:\MaoDeepfacelab 1120\DFL_maozhihanhua_RTX3000\_internal\python-3.6.8\lib\site-packages\tensorflow\python\util\dispatch.py", line 206, in wrapper
    return target(*args, **kwargs)
  File "E:\MaoDeepfacelab 1120\DFL_maozhihanhua_RTX3000\_internal\python-3.6.8\lib\site-packages\tensorflow\python\ops\array_ops.py", line 3528, in pad
    result = gen_array_ops.pad(tensor, paddings, name=name)
  File "E:\MaoDeepfacelab 1120\DFL_maozhihanhua_RTX3000\_internal\python-3.6.8\lib\site-packages\tensorflow\python\ops\gen_array_ops.py", line 6487, in pad
    "Pad", input=input, paddings=paddings, name=name)
  File "E:\MaoDeepfacelab 1120\DFL_maozhihanhua_RTX3000\_internal\python-3.6.8\lib\site-packages\tensorflow\python\framework\op_def_library.py", line 750, in _apply_op_helper
    attrs=attr_protos, op_def=op_def)
  File "E:\MaoDeepfacelab 1120\DFL_maozhihanhua_RTX3000\_internal\python-3.6.8\lib\site-packages\tensorflow\python\framework\ops.py", line 3569, in _create_op_internal
    op_def=op_def)
  File "E:\MaoDeepfacelab 1120\DFL_maozhihanhua_RTX3000\_internal\python-3.6.8\lib\site-packages\tensorflow\python\framework\ops.py", line 2045, in __init__
    self._traceback = tf_stack.extract_stack_for_node(self._c_op)

bbking2018

halou大叔 发表于 2024-3-6 02:55
打扰了丹师，买了你的链接，我的报错，电脑显卡8G内存3050    32G内存    12400F  是不是我的配置不够，纯 ...

已经私聊你了，晚上在线。

探险者军哥

bbking2018 发表于 2024-3-6 07:36
已经私聊你了，晚上在线。

我也有这类的问题

hof123

支持 期待更新

飞天猪

大佬   你怎么练出来的这么完美
我的糊的没有人的样子
可以指点一下嘛？

bbking2018

飞天猪 发表于 2024-3-12 14:47
大佬   你怎么练出来的这么完美
我的糊的没有人的样子
可以指点一下嘛？ ...

把论坛里面的教程都仔仔细细看10遍，一点一点对照做就行了

飞天猪

bbking2018 发表于 2024-3-12 15:51
把论坛里面的教程都仔仔细细看10遍，一点一点对照做就行了

可以问一下  你是按照原作者的直播丹步骤来训练的嘛？

bbking2018

飞天猪 发表于 2024-3-12 17:09
可以问一下  你是按照原作者的直播丹步骤来训练的嘛？

部分是部分不是，前期和前中期是按原作者的来。中后期和后期根据预览、loss、细节、光影、纹理和导出dfm效果对比进行针对训练。