[Guide] Vast.ai setup script (2025)

Had some issues with my home computer so used vast.ai to rent instances. A GTX 1080-TI runs about 0.1$/hour.

When creating instances use the tensorflow/tensorflow:1.15.2-gpu-py3-jupyter image

Here's the script I run to setup the enviroment, put it in a .sh file. Open a terminal and do a "chmod +x" on the file and then run the file. Zip is not necessary but useful when downloading the model.

Upload faces and alignment files.

#!/bin/bashapt update -yapt-get install -y zipapt-get install -y gitapt-get install -y libsm6 libxext6 libxrender-dev apt-get install -y libgl1-mesa-devgit clone -b r1.0 https://github.com/deepfakes/faceswap.gitcd faceswappip install -U pippip install -r requirements_nvidia.txtpython faceswap.py

Run "python faceswap/faceswap.py" once to setup faceswap for NVIDIA and then run the training.
Edit faceswap/config/training.ini to setup which mask to use and other parameters.

Here's my example training command

python ./faceswap/faceswap.py train -A ./A -ala ./A.fsa -B ./B -alb ./B.fsa -m ./model -t dfl-h128 -bs 16 -it 1000000 -g 1 -s 100 -ss 25000 -ps 100 -w -ag -L VERBOSE

Check the training_preview.jpg to evaluate progress.

Update: added forced branch r1.0 until I can figure out how to get python3.7 running on vast instances.

Guide

zzz wrote: ↑Wed May 27, 2020 12:19 pm

Had some issues with my home computer so used vast.ai to rent instances. A GTX 1080-TI runs about 0.1$/hour.

When creating instances use the tensorflow/tensorflow:1.15.2-gpu image

Here's the script I run to setup the enviroment, put it in a .sh file. Open a terminal and do a "chmod +x" on the file and then run the file. Zip is not necessary but useful when downloading the model.

Upload faces and alignment files.

Code: Select all

#!/bin/bashpip install -U pipapt-get install -y zipapt-get install -y gitapt-get install -y libsm6 libxext6 libxrender-devgit clone https://github.com/deepfakes/faceswap.gitcd faceswappip install -r requirements.txt

Run "python faceswap/faceswap.py" once to setup faceswap for NVIDIA and then run the training.
Edit faceswap/config/training.ini to setup which mask to use and other parameters.

Here's my example training command

Code: Select all

python ./faceswap/faceswap.py train -A ./A -ala ./A.fsa -B ./B -alb ./B.fsa -m ./model -t dfl-sae -bs 32 -it 1000000 -g 1 -s 100 -ss 25000 -ps 75 -w -ag -L INFO

Check the training_preview.jpg to evaluate progress.

excellent site and ultra easy. thank you !

Wow! Thanks for the link! I'm stuck with my trash can and it's amd fire pros... And recently have found trouble getting access to google colab's gpu, so this sounds like a afordable way to try getting better at deepfakes without having to spend money on an extra pc

I would have one question though, there are lot's of dual or even more cards avaible for some renters. I know faceswap can work with multiple cards, but could anyone here confirm that it is also the case one the cloud computing?

Wishing you all happy deep fakes

I think this isn't working anymore.

While installing Git, it forces a apt update and otherwise git won't install.

Once updated, a faceswap clone and nvidia installation is done. But when I try to set backend by running python faceswap.py I get an error saying python 3.7 is required.

I installed it using apt-get install python3.7

But no luck.. stuck with same error. Tried gpu builds on vast like 1.15.2-gpu-py3-jupyter , latest and nightly. Same results... Any help or revised guide for vast ????

Faceswap has been updated and due to the update newer versions are required. We do still have the previous version available and you can use if you want to use that. Just add

git checkout r1.0

after the git clone to get the 1.0 version which should work with the existing scripts, but I HIGHLY recommend spending the time to get the 2.0 version working instead.

Can you add the below line to the guide :

apt-get install -y libgl1-mesa-dev

must be done if faceswap errors out. Its something to do with libGL 1.0
This fixed my problems and was able to use vast server on 1.15.2-gpu-py3-jupyter

police.bike wrote: ↑Sat Aug 29, 2020 7:58 pm

Can you add the below line to the guide :

apt-get install -y libgl1-mesa-dev

must be done if faceswap errors out. Its something to do with libGL 1.0
This fixed my problems and was able to use vast server on 1.15.2-gpu-py3-jupyter

Updated guide with r1.0 branch and this fix.

FuorissimoX wrote: ↑Wed Sep 23, 2020 8:50 pm

This procedure allow use gui? Im looking for alternative to Google Cloud because i want try different gpu and google allow only Tesla

You can use gnome panel and a bunch of utilities using a initial shell connection to your vm. Install the terminal, xfce and other goodies that you need for desktop access.

Configure your init to start the gnome panel or xfce equivalent at start up
create a vncserver

use putty and output to localhost:5901
This will help you get the desktop access

Install fswap as typical windows or SH installer.

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