FaceFusion VS insightface

There's no mitigation, the technology is out there for anyone to use:

https://github.com/facefusion/facefusion

Together with diffusion models we better get used to not take a video for proof that something happened. The way we already don't trust photos, because it's has been trivial to make convincing face swaps with Photoshop for a long time.

just download https://github.com/facefusion/facefusion . it very easy to use and results are amazing if face is not full screen. And with coqui_tts you can clone anyones voice form 10-20 second audio. Deepfakes got very dangerous already. Roop (Facefuiosn) also works real-time via webcam (rtx 3060 can easily handle it) Frankly it's kinda scary already. I gues in 12-20 months quality of that stuff will dramatically improve and even on 4k footage, it will be impossible to spot deepfake for 90% of population.

I haven't used it for search, but I believe Insightface's embeddings can be used for this purpose. https://insightface.ai/

This is Picsi.ai/InsightFace Discord server: https://discord.gg/Ym3X8U59ZN The COO of the company, enforcing these strikes is Discord user unmoved.mover This is the github of insightface: https://github.com/deepinsight/insightface

Insightface offering improved model but closed source via discord bot.

https://github.com/deepinsight/insightface/issues/2294

https://github.com/deepinsight/insightface/issues/2315

The easiest I've found so far is to use InsightFace. When you call it on an image, it will return both a 2D and 3D mesh showing the orientation of the face.

Let's say I want to make a flask api using insightface on a linode server. How much ram do I really need?

I have tried Insightface ( https://insightface.ai/ ). But it struggles with face edges. i have used GFPGAN too, but that still leaves blurs around the face. Notice below https://www.youtube.com/watch?v=jWIAVjVeG1I

Mainly as the base model. https://insightface.ai/ There was some post processing done to further improve quality. https://github.com/TencentARC/GFPGAN

in this page says that you need the onxruntime to run it https://github.com/deepinsight/insightface/tree/master/python-package

According to this, they're working on a paper for the 256 model right now.

This is a tongue-in-cheek variation of a WIP for Mat Cauthon. RJ has a list of casting choices and a young James Garner was his selection for Mat Cauthon. The illustration itself is from my own WIP, and no, Mat doesn't look like James Garner in my version. I used Insight Faceswap, https://insightface.ai/ along with a pic of a young James Garner. Made me laugh...