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kingkong135 avatar kingkong135 commented on July 21, 2024 5

if anyone have issue with enviroment, you can use docker:

docker run -dit --name a2p nvidia/cuda:11.6.1-devel-ubuntu20.04
docker exec -it a2p bash 
apt update
apt install vim git wget gcc ffmpeg libsm6 libxext6  -y

# install miniconda 
wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh
bash Miniconda3-latest-Linux-x86_64.sh
/root/miniconda3/bin/conda init bash 

# install repo ...

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alexanderrichard avatar alexanderrichard commented on July 21, 2024 1

Depends how much compute you throw on it and how fast your GPUs are. You can try it out on whatever compute you have available ;)

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yosun avatar yosun commented on July 21, 2024

I believe that if you don't use the rendering portion, you can just run this in realtime locally on consumer devices. Incidentally, please do this for the community: #4

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wandrzej avatar wandrzej commented on July 21, 2024

from the demo description:
"4) Then, sit back and wait for the rendering to happen! This may take a while (e.g. 30 minutes)"
Not sure if it will help to answer the question, but for a 6s audio clip, on a V100, I got the following times for a single sample.

100% 100/100 [00:17<00:00,  5.71it/s]
created 3 samples
100% 100/100 [00:07<00:00, 14.13it/s]
created 3 samples
100% 120/120 [02:36<00:00,  1.31s/it]

Not sure what the 3rd step is (I assume the avatar renderer is more performant)
Anyway as much as the first two networks, are close to real time, the last process is 30x slower than real time on a modest GPU.

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yosun avatar yosun commented on July 21, 2024

indeed, providing a bone dump to SMPL or Unity biped animation bones could eliminate the third time-consuming step to make this an actual realtime technology

#4

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