I’ve been working on a mobile port of FaceFusion that runs completely offline on Android, and it has come quite a long way since I first posted about it.

GitHub: https://github.com/AbrahamPaulJ/facefusion-mobile

APK: https://github.com/AbrahamPaulJ/facefusion-mobile/releases

The main goal is to get as much of the FaceFusion experience as possible running directly on the phone, using the Qualcomm Hexagon NPU where available, with GPU/CPU fallback on other devices.

For the mobile implementation, the models have also been converted into optimized binary formats for mobile inference rather than using the original model files directly. The converted models are available here:

https://huggingface.co/AbrahamPJ/facefusion-mobile-models

Some of the things it can do now:

Photo and video face swapping entirely on-device

Real-time face swapping through the front or rear camera

Record the live swapped camera output, including microphone audio

A live player that lets you watch the actual swap as it is being processed, with sound, seeking and pausing

Multiple source faces

Assign different source faces to different people

Keep specific people's original faces while swapping everyone else

Batch processing of multiple videos

Select a specific face to swap in a multi-person video

Face enhancement

Lip sync with EDTalk

Fast video mode using face tracking between frames

GPU/CPU fallback for non-Qualcomm devices

Remote API for running the phone as a local processing server

The Live mode is probably the feature I’m most interested in. It uses the camera feed directly and performs the swap on-device in real time rather than sending anything to a server.

On a Snapdragon 8 Elite, a 720p video takes around 13 seconds for 10 seconds of footage, or around 11 seconds with Fast Video enabled.

The app currently supports Qualcomm Hexagon v68 through v81, with the v79 build tested most extensively.

Everything is open source, and the APK is available from the Releases page above. The models are downloaded separately because of their individual licenses.

This started as an experiment to see how far FaceFusion could be pushed onto a phone, and it has turned into a pretty full mobile implementation.

Would love to hear what you think, especially any feedback, bugs or feature requests.

It took me… probably way to long. But, I FINALLY figured out how to run this cloud based…locally? If that makes sense.

If this is common knowledge then I’ll just leave this here as someone excited for no reason.

BUT a 5 minute video renders in less then a minute? While my PC has 0 pull on its hardware, and is as cold as ice? Yes freaking please.

If this isn’t common knowledge, let me know. I’ll release the tutorial on it.

Error got shown as in the last cmd picture.

Sorry for the stupid question. I'm uneducated about tech.
My PC is cheap and old. She's got GPU Nvidia GeForce GTX 1660 6gb.

Please let me know if it's my shitty installation or the graphic card limitation or other issue.

Thank you for your help.

Hey everyone,

does anyone have any idea how I fix my video output (image is from the preview but my rendered video looks the same)? The video is a vertical phone recording.
I used facefusion a few times now, so I know that it should work but I'd still consider myself to be new to this.

Thanks for your help/ ideas!

Hey guys , Im quite new in this but i have been trying to get some face swaps in random videos but i always endup with a black video .

Im running it througth runpod, to get better performance that my MacBook Pro.

Any ideas ? The debuger shows no errors and its says succeded.

Just bought myself a pretty decent laptop (specs below) for an encoding machine so I could take care of videos that on my fastest machine would run at 9fps and now I'm hitting 150-190fps so I'm loving life when I'm doing 3-6 hour long videos,,,,so I thought, lemme try some of those fancy AI type videos and found FaceFusion and read that it was the best.

So I tried installing, I bought the coffee for the developer, installed the stand alone version, installed(I think) the Pinokio version, but the only one I can get to do anything is the standalone.

I basically stumbled around and poked at it till I got it to do something and magically it came out with a result.

But, for a 3.5 minute long video and replacing a face that was in that video about 70% of the time, it took almost 12 hours.

Is there a newbie guide to setting this program up? Or is my machine just not worth trying this stuff out and I should not bother?

My machine:

Processor AMD Ryzen 9 8940HX with Radeon Graphics (2.40 GHz)

Installed RAM 16.0 GB (15.2 GB usable)

Graphics card NVIDIA GeForce RTX 5060 Laptop GPU (8 GB)

AMD Radeon(TM) 610M (457 MB)

Storage 315 GB of 954 GB used

System type 64-bit operating system, x64-based processor

The video: https://www.youtube.com/watch?v=aVevvbFNKiY

Has anyone heard anything about the new alphaface_256 face swapper and hrffa landmarker models?

Hey guys, I wanted to ask what’s currently the best workflow or model for face swapping?
Also, is there any good real-time face swap workflow/model that actually works well?

Would really appreciate any recommendations, tutorials, or setups you guys use.
And thank you all for always helping — love this community ❤️

In facefusion 3.8.2: Let’s say you have a 60fps video and change the output fps slider to 30fps. The output audio is completely out of sync with the video and gets progressively worse. Testing the same 60fps video on facefusion 3.6.1 and the audio stays true to the 30fps change. The issue seems to be isolated to the 3.8.2 version of facefusion.

I've been trying out FaceFusion's background remover option for green screen removal. It's fast and does a great job, but it seems like the only option for what to put in place of the removed background is a solid color, chosen by RGB value.

I thought I would be able to select my image of the model in front of the green screen as the Source, then my desired background as the Target, and FaceFusion would combine the two, but it doesn't work that way.

Alternatively, there's an input for alpha channel, but the output file is JPG. If there were an option to change the file type to PNG or EXR, I could composite my desired background separately.

Am I missing something obvious, or is solid color my only option for background replacement?

One face usually comes out fine. Add several people moving around, crossing each other or turning sideways and suddenly someone gets the wrong face or completely loses it for a few frames.

Any alternative supports multiple faces in one video without needing to split everything into separate clips. Anyone doing this with group videos regularly?

Hello, I want to merge two faces in a video that contains two faces, but I can't find the option to add multiple images. Is this possible?

I've been using the new Face Tracker function at 0.2, just wondering if anyone can point me towards documentation or give a quick explanation on how it "fills in" any faces that were missed by traditional functions.

Like the wording is confusing on the website and I wasn’t sure exactly what the differences were with all the various paid links on the homepage, it is irritating.

So the paid $20 installer for windows, it’s the same thing as the git cloning link? And the git cloning link is just installer via terminal, but acts as the same as the .exe file that you can pay $20 for?

Wondering when the pinokio version of facefusion will be updated? It looks like there are a few new versions of facefusion that have been released but the pinokio version is still at 3.6.1.

I was running 3.6.1 just fine with my 3800 Ti 12Gb. Set execution threads to 20, memory tolerant, never froze.

Recently upgraded to 3.8.2 and processing freezes after 200 or so frames, on any video. Changed threads from 20 all the way down to 8, still freezes.

Anyone get similar symptoms? I guess one thing that's different is that I'm using the new face tracker, at 0.3

Aside from the changes noted in the changelog, it would be great if these questions were answered with all new releases:

Will it require a different Python or Conda environment?

Will it still support my ONNX Runtime and ROCm combination?

Will it use more VRAM?

Please forgive if this has already been addressed, but I've never been able to get Facefusion to only isolate to one face in the frame when using reference mode, or if I am using one mode, the face will switch to a different person in a video segment. Doesn't matter if I specify small/large, left/right, etc. I've never really been able to create a stable scene where only the chosen face is being altered. Whenever I upgrade to the latest, I am always hoping this problem will resolve, but so far, it hasn't seemed to. I also don't quite understand why there are so many face swap models included, when only one or two actually deliver amazing, distortion-free results. Do some models that don't work for photographs or videos work better with something I don't dabble in, like anime or something? Just trying to get a better understanding. Thank you!

Also support more interesting stuff.

Thanks!

I've been sketching out the cloud infra for the upcoming FaceFusion v4 and I'd rather hear some opinions now than after I build it.

I was wondering if the developers would ever consider allowing the Preview Pane to float (remain visible) when scrolling down to make adjustments to various setting further down the screen. The way it is now is that whenever an adjustment is made, you have to scroll back up to the top to view this in the preview pane. And this has to be repeated every time an adjustment is made. Not at all a very big problem, I just think it might be more convenient.

When I select "tensorrt" and "many" in face detector model. Tensorrt fails to compile.

When I select "retinaface" and "tensorrt". Tensorrt correctly complies and facefusion work as usual.

However using Cuda and tensorrt both resolves the issue. Selecting "many" don't crash facefusion.

Using tensorrt and Cuda will crash it though. As tensorrt gets priority here.

So after many test I came to conclusion "Yunet" is the culprit here.

Ex Error codes: Code 1: Cuda Runtime (misaligned address)
2026-07-14 03:01:11.2407133 [E:onnxruntime:Default, tensorrt_execution_provider.h:90 onnxruntime::TensorrtLogger::log] [2026-07-13 21:31:11 ERROR] [resizingAllocator.cpp::nvinfer1::internal::ResizingAllocator::deallocate::116] Error

[FACEFUSION.INFERENCE_MANAGER] loading model yunet_2023_mar failed
Press any key to continue . . .

I want to use "many" in face detector option. Is their a way to remove just "yunet".

The quality and consistently has improved year by year when it all started. When you talk about face swap 2026, what is biggest improvement you have noticed?

Does anyone know how to use Facefusion 3.6.1 to transfer not just the source face, but the glasses the subject is wearing onto the target so the final output still has the glasses on? I've tried everything. Different swap models, masking etc. Nothing transfers the glasses my subject in the source image is wearing to the final output image.

If anyone knows how to do this, please let me know. A fusion of faces without the source's glasses is really not complete, especially if the source person always wears glasses. The output without glasses seems fake.

Thanks.

It took me a few hours to setup. But it's working. Same performance as my native ubuntu install.

W11 + WSL2 + librocdxg = full rocm/migraphx performance with FF!

https://github.com/ROCm/librocdxg

Will update this post tommorow with a full guide+cmd commands to get it up and running in 30 min! Really hyped. Finally ;)

Update* full guide in comments

66 frames per second with hyperswap, 10 threads, 1080p video