Real Deepfakes and Fake Deepfakes

From MoHA Wiki

Sam Lavigne, June 28, 2022

This June, I launched the Austin Police Department Decruitment Initiative with my collaborator Andie Flores.

The goal of APD Decruitment is simple: we aim to convince members for the Austin Police Department to quit their jobs, and to discourage new recuits from joining.

To further this goal we’ve partnered with some local Austin businesses who have agreed to provide discounts to cops who can demonstrate they’ve quit their jobs, a kind of rewards program for quitters. These businesses include a cheese store, two event venues, and a wig shop. (Please get in touch if you run a business in Austin and would like to participate!)

We also put together a promotional video that explains the project and offers some encouragement for potential decruits. The video features quit-your-job pep talks from cop luminaries like Joe Arpaio, David Clarke, and Rudy Giuliani.


Everyone knows that deepfakes will destroy democracy, but no one knows what democracy is

Almost everyone I show this video to initially thinks that we made it using deepfakes, the much feared machine learning technique for creating modestly difficult-to-detect face overlays. Although the media panic over deepfakes has probably already crested, it seems to have successfully generated a consensus around the idea that deepfakes will somehow erode or destroy democracy. Reading the avalanche of articles on the danger of fakes1, it’s never really clear to me why deepfakes are more dangerous than Photoshop, After Effects, or non-linear video editing (although perhaps democracy did in fact end on February 19th, 1990, the day that Photoshop 1.0 was released, or sometime in 1971, when the CMX 600 hit the market). Nor is it clear what is even meant by democracy. In the US at least, the real threat to democracy is demonstrably coming from the government itself (the call is coming from inside the house!): the Supreme Court, the Senate, the Electoral College, the police, and all the rest of our institutions that deliberately curtail participatory rule. How could fake videos even come close to harming democracy more than the state itself?

In any case, it’s usually easy to detect a fake that seems real. We are long accustomed to questioning the reality of the images we see and the stories we hear, and to use social contextual clues to determine what is credible. A discerning eye doesn’t see alone: it’s a node in a network of other eyes that collectively decide what is to be believed and what is to be ignored. In other words, our vision is never solitary.

The harder part, I believe, is to detect a real that seems fake. An actual erosion of reality arises from our lack of willingness to believe the true things we are seeing with out own eyes. To detect when a joke isn’t a joke, when a LARP isn’t a LARP, when a draft opinion isn’t a draft, and so on.

As for our APD Decruitment video, it is 100% free of deepfakes. Why bother with obtuse machine learning algorithms when we have d-list celebrity cops willing to say anything on cameo.com!

How to make a fake deepfake

Let’s look then at the technical steps required to make a real that seems fake. In other words, a fake deepfake.

Step 1: Enter your prompt

This is the hardest part, as cameo has a very limited character count.

Step 2: Get excited

Step 3: Download the video

Finally, you must download the video. Since cameo doesn’t have a button for this, you’ll need to do a tiny bit of work to find the actual video URL.

In Chrome

Step 3.1: Open up the Chrome Developer Tools


Step 3.2: Select the Network tab and then reload the page


Step 3.3: Select the little “Media” button to filter for just media files


Step 3.4: Right click on the first link and select “Copy link address”


Step 3.5: Finally, just paste the URL into a new browser tab and the video will download.

How to make a real deepfake

For those interested in putting the final nail in democracy’s coffin and making real deepfakes instead of fake deepfakes, the process isn’t too difficult but remains a bit cumbersome, and requires a Windows or Linux computer with a decent GPU. At the time of writing, the two main open source deepfake tools are FaceSwap and DeepFaceLab. Out of curiosity, I decided to deepfake myself as Rudy Giuliani using DeepFaceLab. A few months ago, it was still possible to do this using a Google Colab Notebook, but Google has recently banned the practice, and gives you an ominous warning if you try to run any deepfake code:


Instead, I opted to download the Windows version of DeepFaceLab. The instructions they provide are very comprehensive, but I ended up just following this tutorial video2 which involves clicking on a bunch of executable script files in the correct order.


To make a deepfake you need a source video (the face to copy) and a destination video (the face to overwrite). As a source, I used a video of Rudy babbling on cameo, and as a destination a video of myself making a very poor Rudy impression. The training process is enjoyable to watch:


And here are the results:


Clearly the inferior fake.