deepfacelab使用说明（二）

usage: main.py [-h] [–tf-suppress-std] {extract,sort,train,convert} …
main.py: error: unrecognized arguments: –ask-for-params
请按任意键继续. .

Running trainer.

Loading model…
Error: Sorry, this model works only on 2GB+ GPU
Traceback (most recent call last):
File “E:\1\DeepFaceLabTorrent\_internal\bin\DeepFaceLab\mainscripts\Trainer.py”, line 41, in trainerThread
**in_options)
File “E:\1\DeepFaceLabTorrent\_internal\bin\DeepFaceLab\models\ModelBase.py”, line 108, in __init__
self.onInitialize(**in_options)
File “E:\1\DeepFaceLabTorrent\_internal\bin\DeepFaceLab\models\Model_H128\Model.py”, line 23, in onInitialize
self.set_vram_batch_requirements( {2.5:2,3:2,4:2,4:4,5:8,6:8,7:16,8:16,9:24,10:24,11:32,12:32,13:48} )
File “E:\1\DeepFaceLabTorrent\_internal\bin\DeepFaceLab\models\ModelBase.py”, line 323, in set_vram_batch_requirements
raise Exception (‘Sorry, this model works only on %dGB+ GPU’ % ( keys[0] ) )
Exception: Sorry, this model works only on 2GB+ GPU
请按任意键继续. . .
显存不足 2gb 的怎么办啊 deepfacelib

求解啊

有大佬教一下怎么办吗
第7步转换47%了然后突然出现这个
Exception while process data [undefined]: Traceback (most recent call last):
File “D:\DeepFaceLab_build_02_12_2018\DeepFaceLabTorrent\_internal\bin\DeepFaceLab\utils\SubprocessorBase.py”, line 233, in subprocess
result = self.onClientProcessData (data)
File “D:\DeepFaceLab_build_02_12_2018\DeepFaceLabTorrent\_internal\bin\DeepFaceLab\mainscripts\Converter.py”, line 170, in onClientProcessData
image = self.converter.convert_face(image, image_landmarks, self.debug)
File “D:\DeepFaceLab_build_02_12_2018\DeepFaceLabTorrent\_internal\bin\DeepFaceLab\models\ConverterMasked.py”, line 179, in convert_face
out_img = np.clip( img_bgr*(1-img_face_mask_aaa) + (out_img*img_face_mask_aaa) , 0, 1.0 )
MemoryError
Exception while process data [undefined]: Traceback (most recent call last):
File “D:\DeepFaceLab_build_02_12_2018\DeepFaceLabTorrent\_internal\bin\DeepFaceLab\utils\SubprocessorBase.py”, line 233, in subprocess
result = self.onClientProcessData (data)
File “D:\DeepFaceLab_build_02_12_2018\DeepFaceLabTorrent\_internal\bin\DeepFaceLab\mainscripts\Converter.py”, line 170, in onClientProcessData
image = self.converter.convert_face(image, image_landmarks, self.debug)
File “D:\DeepFaceLab_build_02_12_2018\DeepFaceLabTorrent\_internal\bin\DeepFaceLab\models\ConverterMasked.py”, line 179, in convert_face
out_img = np.clip( img_bgr*(1-img_face_mask_aaa) + (out_img*img_face_mask_aaa) , 0, 1.0 )
MemoryError

Exception while process data [undefined]: Traceback (most recent call last):
File “D:\DeepFaceLab_build_02_12_2018\DeepFaceLabTorrent\_internal\bin\DeepFaceLab\utils\SubprocessorBase.py”, line 233, in subprocess
result = self.onClientProcessData (data)
File “D:\DeepFaceLab_build_02_12_2018\DeepFaceLabTorrent\_internal\bin\DeepFaceLab\mainscripts\Converter.py”, line 170, in onClientProcessData
image = self.converter.convert_face(image, image_landmarks, self.debug)
File “D:\DeepFaceLab_build_02_12_2018\DeepFaceLabTorrent\_internal\bin\DeepFaceLab\models\ConverterMasked.py”, line 179, in convert_face
out_img = np.clip( img_bgr*(1-img_face_mask_aaa) + (out_img*img_face_mask_aaa) , 0, 1.0 )
MemoryError

训练的时候，为什么显卡都没有负载，主要是cpu在工作啊？我2g的显卡，预览才显示2行

全程研究好了自己试了一次1分钟的视频转换，把目标视频截取脸后的相似的都删除以后，第七步转化时候有很多现实no face found，找不到脸（全帧截图未删除），第八步整合视频后发现脸99%没有换，只是脸部会闪。不知道何原因？2G显卡用的H64，真心请版主指点，感谢为盼！

大神求助啊，h128模型换脸出下面的错为什么啊
Traceback (most recent call last):
File “”, line 1, in
File “multiprocessing\spawn.py”, line 105, in spawn_main
Error: [Errno 32] Broken pipe
File “multiprocessing\spawn.py”, line 115, in _main
File “F:\ruanjian\DeepFaceLabTorrent\_internal\bin\DeepFaceLab\mainscripts\Converter.py”, line 7, in
from utils import image_utils
File “F:\ruanjian\DeepFaceLabTorrent\_internal\bin\DeepFaceLab\utils\image_utils.py”, line 6, in
Traceback (most recent call last):
File “F:\ruanjian\DeepFaceLabTorrent\_internal\bin\DeepFaceLab\mainscripts\Converter.py”, line 261, in main
**in_options ).process()
File “F:\ruanjian\DeepFaceLabTorrent\_internal\bin\DeepFaceLab\utils\SubprocessorBase.py”, line 100, in process
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
from scipy.spatial import Delaunay
File “F:\ruanjian\DeepFaceLabTorrent\_internal\bin\lib\site-packages\scipy\spatial\__init__.py”, line 96, in
from .qhull import *
ImportError: DLL load failed: 页面文件太小，无法完成操作。

想问问如上操作之后merged的脸没有变 。 。。 是因为训练不足吗 还是我可能有什么地方错误操作

这是什么原因啊，用的H128
===== Model summary =====
== Model name: H128
==
== Current epoch: 0
==
== Options:
== |== batch_size : 16
== |== multi_gpu : False
== |== created_vram_gb : 8.0
== Running on:
== |== [0 : GeForce GTX 1070]
=========================
Saving…
请按任意键继续. . .

最後轉mp4 出了錯

File “C:\DeepFakes\DeepFaceLab\DeepFaceLabCUDA9.2SSE\_internal\DeepFaceLab\main.py”, line 207, in
arguments.func(arguments)
File “C:\DeepFakes\DeepFaceLab\DeepFaceLabCUDA9.2SSE\_internal\DeepFaceLab\main.py”, line 177, in process_videoed_video_from_sequence
arguments.lossless)
File “C:\DeepFakes\DeepFaceLab\DeepFaceLabCUDA9.2SSE\_internal\DeepFaceLab\mainscripts\VideoEd.py”, line 148, in video_from_sequence
probe = ffmpeg.probe (str(reference_file_path))
File “C:\DeepFakes\DeepFaceLab\DeepFaceLabCUDA9.2SSE\_internal\python-3.6.8\lib\site-packages\ffmpeg\_probe.py”, line 20, in probe
return json.loads(out.decode(‘utf-8’))
File “json\__init__.py”, line 354, in loads
File “json\decoder.py”, line 339, in decode
File “json\decoder.py”, line 355, in raw_decode
json.decoder.JSONDecodeError: Expecting ‘,’ delimiter: line 119 column 6 (char 4004)

有大佬吗，能让我请教一下吗？那个全环境的还要下载其他东西吗？

对于线程很多的CPU，比如我的i9-7920X，在进行模型换脸的时候一口气用24个线程，软件直接就崩了。具体解决方式是win+r 运行msconfig，引导选项卡 -高级选项-处理器个数打钩，选择少一点的（6个差不多），然后重启，就不会存在 out of memory