Comments (7)
Thanks understood, Step 6 always took most of inference time, any idea to speed it up, regards.
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Thanks understood, Step 6 always took most of inference time, any idea to speed it up, regards.
Did you find any solution for Speed ?
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报一下你现在硬件配置、视频尺寸和推理时间. 也许我可以给你一些建议。
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Hi @zhangziliang04
I use 1 GPU Tesla T4 16GB, video Avatar size 832x960 (width, height).
To generate 8s video, it took 390 second in total.
Any idea to improve this, thanks
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这个项目,默认有一个缓冲机制,第二次同一个驱动视频,会服用第一次训练的结果,具体对应1-4步骤,你可以看具体看一下。
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@KartavyaBagga did you find yet? same question for @truongnhat-ryo @zhangziliang04 , how to make it faster ??
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前面几步是有缓存,第二次用统一形象会有节约时间
但是,第六步占总时间的70~80%左右,是优化的关键
还需要多研究研究这步
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Related Issues (20)
- No output after FaceDet : 100%,^C HOT 1
- ImportError: cannot import name 'packaging' from 'pkg_resources' HOT 4
- Issue if the Video start with a pause.
- ModuleNotFoundError: No module named 'torchvision.transforms.functional_tensor' HOT 6
- Understanding Model Capabilities
- Any possibilities to make the video result better?
- New to tis but have an error stopping me can anyone hhelp? HOT 1
- ERROR: Could not build wheels for dlib, which is required to install pyproject.toml-based projects HOT 10
- PROBLEM [Errno 2] No such file or directory: 'requirements.txt'
- Hello babe HOT 1
- Hey
- Video result appeared to just be original video with lip sync
- Issue with Output Video Quality Despite 1080P Input HOT 1
- can it be done real time HOT 1
- [Step 6] Error opening input file temp/temp/result.mp4.
- dockerfile
- windows 11 HOT 1
- Working With Different Expressions
- erro na hora de digitar o comando: C:\VideoRetalking\video-retalking>conda create -n video_retalking python=3.8
- vrtc: error: invalid value for --gpu-architecture (-arch) HOT 2
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