FaceFusion 3 Windows (local), RunPod and Massed Compute (Cloud) 1-Click installers. Install and run with easiness. The best DeepFake APP
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Latest installer : FaceFusion_v17.zip
FaceFusion installers are updated for newest FaceFusion version 3.4.0
This app became a beast with so many amazing features
I have tested latest installer on RunPod, Massed Compute and Windows
Now our installer installs with Torch 2.8, CUDA 12.9, cuDNN 9.12 and it is blazing fast
If you have older or newer GPU should work on all GPUs starting from RTX 1000 to RTX 5000 or server GPUs
Even start with CPU works if you don't have any decent GPU
I don't recommend TensorRT since compile takes over 10 min and i found it slower than CUDA but still you can try
On RunPod make sure to select template Runpod Pytorch 2.8.0, runpod/pytorch:2.8.0-py3.11-cuda12.8.1-cudnn-devel-ubuntu22.04
On Massed Compute make sure to select image Creator > SECourses
On Windows we still use Python 3.10.11 and working amazing
The installer will auto download cuDNN and TensorRT on Windows but you still need to have accurate CUDA installation and path set as in requirements tutorial
On RunPod and Massed Compute just select accurate template and run commands it is fully automatic
I recommend a fresh install rather than update, install into a new folder and test
Python 3.10, FFmpeg, CUDA 12.9, C++, CUDNN 9.12, C++ tools, MSVC and Git
If it doesn't work make sure to follow below tutorial step by step and install everything exactly as shown in this below tutorial
The requirements tutorial post fully updated : https://www.patreon.com/posts/111553210
To install on Windows just run Windows_Install.bat
To start on Windows just run Windows_Start_App.bat
To update on Windows just run Windows_Update.bat
Installers updated for latest FaceFusion 3.3
Delete older venv file and run new installer file
The installer file download TensorRT_10.9.0.34 libraries and extract into tensorrt_libs folder and now TensorRT will work as well on Windows hopefully
TensorRT first time compiles taking huge time at some actions so just wait until screen becomes responsive
Massed Compute and RunPod installers now supports RTX 5000 series with Torch 2.7 and CUDA 12.8 - all automatic and supports other older GPUs too
Select this template on RunPod :
RunPod Pytorch 2.8.0
runpod/pytorch:2.8.0-py3.11-cuda12.8.1-cudnn-devel-ubuntu22.04
The installation and download of models on RunPod can be extremely slow meanwhile Massed Compute is ultra fast (i recommend Massed Compute)
Also TensorRT on RunPod or Massed Compute isn't recommended since it takes huge compile time - and i didn't test them - CUDA working ultra fast and perfect
Auto downloaded cuDNN libraries updated to latest 9.8.0
TensorRT libraries updated and now works - delete venv and make a fresh install
FaceFusion installer upgraded and now supports RTX 5000 series as well
Tested on RTX 3090 TI and RTX 5090
RTX 5090 reached 60 FPS which is a record
Massed Compute installers updated - now faster install and working faster
Now installer installs latest version always which is 3.1.1 at the moment
FaceFusion is currently the very best FaceSwap / 1-shot Deep Fake app that you can find with so many extra and additional features
Do a windows update, then delete venv and then run new installer or make a fresh install
Please register via this link : https://vm.massedcompute.com/signup?linkId=lp_034338&sourceId=secourses&tenantId=massed-compute
Use our coupon SECourses
Our coupon works on all GPUs now
H100 has amazing price and speed but you can use like RTX A6000 ADA as well
Full details here : https://www.patreon.com/posts/26671823
Then select our image SECourses from Creator dropdown
Then follow Massed_Compute_Instructions_READ.txt
Same as my any other Massed Compute installer script
Example tutorial for learn how to install and use Massed Compute
(Starts at 12:58) : https://youtu.be/KW-MHmoNcqo?si=G1WbG-Qw4ujWvOtG&t=778
Please register via this link : https://get.runpod.io/955rkuppqv4h
Then follow Runpod_Instructions_READ.txt
Same as my any other RunPod installer script
Use the template written in Runpod_Instructions_READ.txt file
Example tutorial for learn how to install and use RunPod
(starts at 22:03) : https://youtu.be/KW-MHmoNcqo?si=QN8X8Sjn13ZYu-EU&t=1323

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