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ali-vilab / dreamtalk

Official implementations for paper: DreamTalk: When Expressive Talking Head Generation Meets Diffusion Probabilistic Models
https://dreamtalk-project.github.io/
MIT License
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RuntimeError: Found no NVIDIA driver on your system. Please check that you have an NVIDIA GPU and installed a driver from http://www.nvidia.com/Download/index.aspx #12

Open spstrademark opened 6 months ago

spstrademark commented 6 months ago

Hello,

when i run the following command - 

python inference_for_demo_video.py \
--wav_path data/audio/acknowledgement_english.m4a \
--style_clip_path data/style_clip/3DMM/M030_front_neutral_level1_001.mat \
--pose_path data/pose/RichardShelby_front_neutral_level1_001.mat \
--image_path data/src_img/uncropped/male_face.png \
--cfg_scale 1.0 \
--max_gen_len 30 \
--output_name acknowledgement_english@M030_front_neutral_level1_001@male_face

I get the error

RuntimeError: Found no NVIDIA driver on your system. Please check that you have an NVIDIA GPU and installed a driver from http://www.nvidia.com/Download/index.aspx

my question is if it is possible to use the cpu instead and if so how to achieve it?

Best regards, Stanko

YifengMa9 commented 6 months ago

Thanks for your attention. You can pull the latest version of the code and add --device=cpu in the command line arguments.

spstrademark commented 6 months ago

Thanks it worked !

b0b6a commented 4 months ago

@YifengMa9 Do you have any good solutions for the following issues? I was confused for a long time because of this RuntimeError: nvrtc: error: invalid value for --gpu-architecture (-arch)

YifengMa9 commented 4 months ago

Thanks for your attention. The error indicates that you seemingly are using GPU. Have you tried to add --device=cpu in the command line arguments?

SuperMaximus1984 commented 1 month ago

Thanks for your attention. The error indicates that you seemingly are using GPU. Have you tried to add --device=cpu in the command line arguments?

I have the same problem RuntimeError: nvrtc: error: invalid value for --gpu-architecture (-arch) while CPU works fine, but incredibly slow. Can you advise what can be don't to make it work with Nvidia GPU (RTX 4090)?