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Real-time face swap and video deepfake with a single click and only a single image.
This deepfake software is designed to be a productive tool for the AI-generated media industry. It can assist artists in animating custom characters, creating engaging content, and even using models for clothing design.
We are aware of the potential for unethical applications and are committed to preventative measures. A built-in check prevents the program from processing inappropriate media (nudity, graphic content, sensitive material like war footage, etc.). We will continue to develop this project responsibly, adhering to the law and ethics. We may shut down the project or add watermarks if legally required.
Ethical Use: Users are expected to use this software responsibly and legally. If using a real person's face, obtain their consent and clearly label any output as a deepfake when sharing online.
Content Restrictions: The software includes built-in checks to prevent processing inappropriate media, such as nudity, graphic content, or sensitive material.
Legal Compliance: We adhere to all relevant laws and ethical guidelines. If legally required, we may shut down the project or add watermarks to the output.
User Responsibility: We are not responsible for end-user actions. Users must ensure their use of the software aligns with ethical standards and legal requirements.
By using this software, you agree to these terms and commit to using it in a manner that respects the rights and dignity of others.
Users are expected to use this software responsibly and legally. If using a real person's face, obtain their consent and clearly label any output as a deepfake when sharing online. We are not responsible for end-user actions.
1. Select a face 2. Select which camera to use 3. Press live!
Retain your original mouth for accurate movement using Mouth Mask
Use different faces on multiple subjects simultaneously
Watch movies with any face in real-time
Run Live shows and performances
Create Your Most Viral Meme Yet
Created using Many Faces feature in Deep-Live-Cam
Surprise people on Omegle
Please be aware that the installation requires technical skills and is not for beginners. Consider downloading the prebuilt version.
FreshRSS git clone https://github.com/hacksider/Deep-Live-Cam.git
cd Deep-Live-Cam
python -m venv venv
venv\Scripts\activate
pip install -r requirements.txt
# Install Python 3.10 (specific version is important)
brew install python@3.10
# Install tkinter package (required for the GUI)
brew install python-tk@3.10
# Create and activate virtual environment with Python 3.10
python3.10 -m venv venv
source venv/bin/activate
# Install dependencies
pip install -r requirements.txt
# Deactivate the virtual environment
rm -rf venv
# Reinstall the virtual environment
python -m venv venv
source venv/bin/activate
# install the dependencies again
pip install -r requirements.txt
pip uninstall onnxruntime onnxruntime-gpu
pip install onnxruntime-gpu==1.16.3
python run.py --execution-provider cuda
pip uninstall onnxruntime onnxruntime-silicon
pip install onnxruntime-silicon==1.13.1
python3.10 run.py --execution-provider coreml
pip uninstall onnxruntime onnxruntime-coreml
pip install onnxruntime-coreml==1.13.1
python run.py --execution-provider coreml
pip uninstall onnxruntime onnxruntime-directml
pip install onnxruntime-directml==1.15.1
python run.py --execution-provider directml
pip uninstall onnxruntime onnxruntime-openvino
pip install onnxruntime-openvino==1.15.0
python run.py --execution-provider openvino
1. Image/Video Mode
python run.py.2. Webcam Mode
python run.py.Check out these helpful guides to get the most out of Deep-Live-Cam:
Visit our official blog for more tips and tutorials.
options:
-h, --help show this help message and exit
-s SOURCE_PATH, --source SOURCE_PATH select a source image
-t TARGET_PATH, --target TARGET_PATH select a target image or video
-o OUTPUT_PATH, --output OUTPUT_PATH select output file or directory
--frame-processor FRAME_PROCESSOR [FRAME_PROCESSOR ...] frame processors (choices: face_swapper, face_enhancer, ...)
--keep-fps keep original fps
--keep-audio keep original audio
--keep-frames keep temporary frames
--many-faces process every face
--map-faces map source target faces
--mouth-mask mask the mouth region
--video-encoder {libx264,libx265,libvpx-vp9} adjust output video encoder
--video-quality [0-51] adjust output video quality
--live-mirror the live camera display as you see it in the front-facing camera frame
--live-resizable the live camera frame is resizable
--max-memory MAX_MEMORY maximum amount of RAM in GB
--execution-provider {cpu} [{cpu} ...] available execution provider (choices: cpu, ...)
--execution-threads EXECUTION_THREADS number of execution threads
-v, --version show program's version number and exit
Looking for a CLI mode? Using the -s/--source argument will make the run program in cli mode.
We are always open to criticism and are ready to improve, that's why we didn't cherry-pick anything.
Deep fakes are a growing concern in the age of digital media and can be extremely dangerous for school children. Deep fakes are digital images, videos, or audio recordings that have been manipulated to look or sound like someone else. They can be used to spread misinformation, create harassment, and even lead to identity theft. With the prevalence of digital media, it’s important to protect school children from deep fakes.
Educating students on deep fakes is an essential step in protecting them from the dangers of these digital manipulations. Schools should provide students with information about the different types of deep fakes and how to spot them.
Media literacy is an important skill that students should have in order to identify deep fakes and other forms of misinformation. Schools should provide students with resources to help them understand how to evaluate the accuracy of a digital image or video.
Schools should emphasize the importance of digital safety and provide students with resources on how to protect their online identities. This includes teaching students about the risks of sharing personal information online, using strong passwords, and being aware of phishing scams.
Schools should monitor online activity to ensure that students are not exposed to deep fakes or other forms of online harassment. Schools should have policies in place to protect students from online bullying and harassment, and they should take appropriate action if they find any suspicious activity.
By following these tips, schools can help protect their students from the dangers of deep fakes. Educating students on deep fakes, encouraging them to be media literate, promoting digital safety, and monitoring online activity are all important steps to ensure that school children are safe online.
Through quipping students with the tools they need to navigate the online world, schools can also help them learn how to use digital technology responsibly. Through educational resources and programs, schools can teach students the importance of digital citizenship and how to use digital technology ethically and safely. Finally, schools should promote collaboration and communication between parents, students, and school administration to ensure everyone is aware of the risks of deep fakes and other forms of online deception.
Deep fakes have the potential to lead to identity theft, particularly if deep fakes tools are used to steal the identities of students or even teachers. McAfee’s Identity Monitoring Service, as part of McAfee+, monitors the dark web for your personal info, including email, government IDs, credit card and bank account info, and more. We’ll help keep your personal info safe, with early alerts if your data is found on the dark web, so you can take action to secure your accounts before they’re used for identity theft.
The post How to Protect School Children From Deep Fakes appeared first on McAfee Blog.
It’s that time of year again: election season! You already know what to expect when you flip on the TV. Get ready for a barrage of commercials, each candidate saying enough to get you to like them but nothing specific enough to which they must stay beholden should they win.
What you might not expect is for sensationalist election “news” to barge in uninvited on your screens. Fake news – or exaggerated or completely falsified articles claiming to be unbiased and factual journalism, often spread via social media – can pop up anytime and anywhere. This election season’s fake news machine will be different than previous years because of the emergence of mainstream artificial intelligence tools.
Here are a few ways desperate zealots may use various AI tools to stir unease and spread misinformation around the upcoming election.
We’ve had time to learn and operate by the adage of “Don’t believe everything you read on the internet.” But now, thanks to deepfake, that lesson must extend to “Don’t believe everything you SEE on the internet.” Deepfake is the digital manipulation of a video or photo. The result often depicts a scene that never happened. At a quick glance, deepfakes can look very real! Some still look real after studying them for a few minutes.
People may use deepfake to paint a candidate in a bad light or to spread sensationalized false news reports. For example, a deepfake could make it look like a candidate flashed a rude hand gesture or show a candidate partying with controversial public figures.
According to McAfee’s Beware the Artificial Imposter report, it only takes three seconds of authentic audio and minimal effort to create a mimicked voice with 85% accuracy. When someone puts their mind to it and takes the time to hone the voice clone, they can achieve a 95% voice match to the real deal.
Well-known politicians have thousands of seconds’ worth of audio clips available to anyone on the internet, giving voice cloners plenty of samples to choose from. Fake news spreaders could employ AI voice generators to add an authentic-sounding talk track to a deepfake video or to fabricate a snappy and sleazy “hot mike” clip to share far and wide online.
Programs like ChatGPT and Bard can make anyone sound intelligent and eloquent. In the hands of rabble-rousers, AI text generation tools can create articles that sound almost professional enough to be real. Plus, AI allows people to churn out content quickly, meaning that people could spread dozens of fake news reports daily. The number of fake articles is only limited by the slight imagination necessary to write a short prompt.
Before you get tricked by a fake news report, here are some ways to spot a malicious use of AI intended to mislead your political leanings:
Is what you’re reading or seeing or hearing too bizarre to be true? That means it probably isn’t. If you’re interested in learning more about a political topic you came across on social media, do a quick search to corroborate a story. Have a list of respected news establishments bookmarked to make it quick and easy to ensure the authenticity of a report.
If you encounter fake news, the best way you can interact with it is to ignore it. Or, in cases where the content is offensive or incendiary, you should report it. Even if the fake news is laughably off-base, it’s still best not to share it with your network, because that’s exactly what the original poster wants: For as many people as possible to see their fabricated stories. All it takes is for someone within your network to look at it too quickly, believe it, and then perpetuate the lies.
It’s great if you’re passionate about politics and the various issues on the ballot. Passion is a powerful driver of change. But this election season, try to focus on what unites us, not what divides us.
The post This Election Season, Be on the Lookout for AI-generated Fake News appeared first on McAfee Blog.
It’s not all funny limericks, bizarre portraits, and hilarious viral skits. ChatGPT, Bard, DALL-E, Craiyon, Voice.ai, and a whole host of other mainstream artificial intelligence tools are great for whiling away an afternoon or helping you with your latest school or work assignment; however, cybercriminals are bending AI tools like these to aid in their schemes, adding a whole new dimension to phishing, vishing, malware, and social engineering.
Here are some recent reports of AI’s use in scams plus a few pointers that might tip you off should any of these happen to you.
Vishing – or phishing over the phone – is not a new scheme; however, AI voice mimickers are making these scamming phone calls more believable than ever. In Arizona, a fake kidnapping phone call caused several minutes of panic for one family, as a mother received a demand for ransom to release her alleged kidnapped daughter. On the phone, the mother heard a voice that sounded exactly like her child’s, but it turned out to be an AI-generated facsimile.
In reality, the daughter was not kidnapped. She was safe and sound. The family didn’t lose any money because they did the right thing: They contacted law enforcement and kept the scammer on the phone while they located the daughter.1
Imposter scams accounted for a loss of $2.6 billion in the U.S. in 2022. Emerging AI scams could increase that staggering total. Globally, about 25% of people have either experienced an AI voice scam or know someone who has, according to McAfee’s Beware the Artificial Imposter report. Additionally, the study discovered that 77% of voice scam targets lost money as a result.
No doubt about it, it’s frightening to hear a loved one in distress, but try to stay as calm as possible if you receive a phone call claiming to be someone in trouble. Do your best to really listen to the “voice” of your loved one. AI voice technology is incredible, but there are still some kinks in the technology. For example, does the voice have unnatural hitches? Do words cut off just a little too early? Does the tone of certain words not quite match your loved one’s accent? To pick up on these small details, a level head is necessary.
What you can do as a family today to avoid falling for an AI vishing scam is to agree on a family password. This can be an obscure word or phrase that is meaningful to you. Keep this password to yourselves and never post about it on social media. This way, if a scammer ever calls you claiming to have or be a family member, this password could determine a fake emergency from a real one.
Deepfake, or the digital manipulation of an authentic image, video, or audio clip, is an AI capability that unsettles a lot of people. It challenges the long-held axiom that “seeing is believing.” If you can’t quite believe what you see, then what’s real? What’s not?
The FBI is warning the public against a new scheme where cybercriminals are editing explicit footage and then blackmailing innocent people into sending money or gift cards in exchange for not posting the compromising content.2
Deepfake technology was also at the center of an incident involving a fake ad. A scammer created a fake ad depicting Martin Lewis, a trusted finance expert, advocating for an investment venture. The Facebook ad attempted to add legitimacy to its nefarious endeavor by including the deepfaked Lewis.3
No response is the best response to a ransom demand. You’re dealing with a criminal. Who’s to say they won’t release their fake documents even if you give in to the ransom? Involve law enforcement as soon as a scammer approaches you, and they can help you resolve the issue.
Just because a reputable social media platform hosts an advertisement doesn’t mean that the advertiser is a legitimate business. Before buying anything or investing your money with a business you found through an advertisement, conduct your own background research on the company. All it takes is five minutes to look up its Better Business Bureau rating and other online reviews to determine if the company is reputable.
To identify a deepfake video or image, check for inconsistent shadows and lighting, face distortions, and people’s hands. That’s where you’ll most likely spot small details that aren’t quite right. Like AI voices, deepfake technology is often accurate, but it’s not perfect.
Content generation tools have some safeguards in place to prevent them from creating text that could be used illegally; however, some cybercriminals have found ways around those rules and are using ChatGPT and Bard to assist in their malware and phishing operations. For example, if a criminal asked ChatGPT to write a key-logging malware, it would refuse. But if they rephrased and asked it to compose code that captures keystrokes, it may comply with that request. One researcher demonstrated that even someone with little knowledge of coding could use ChatGPT, thus making malware creation simpler and more available than ever.4 Similarly, AI text generation tools can create convincing phishing emails and create them quickly. In theory, this could speed up a phisher’s operation and widen their reach.
You can avoid AI-generated malware and phishing correspondences the same way you deal with the human-written variety: Be careful and distrust anything that seems suspicious. To steer clear of malware, stick to websites you know you can trust. A safe browsing tool like McAfee web protection – which is included in McAfee+ – can doublecheck that you stay off of sketchy websites.
As for phishing, when you see emails or texts that demand a quick response or seem out of the ordinary, be on alert. Traditional phishing correspondences are usually riddled with typos, misspellings, and poor grammar. AI-written lures are often written well and rarely contain errors. This means that you must be diligent in vetting every message in your inbox.
While the debate about regulating AI heats up, the best thing you can do is to use AI responsibly. Be transparent when you use it. And if you suspect you’re encountering a malicious use of AI, slow down and try your best to evaluate the situation with a clear mind. AI can create some convincing content, but trust your instincts and follow the above best practices to keep your money and personal information out of the hands of cybercriminals.
1CNN, “‘Mom, these bad men have me’: She believes scammers cloned her daughter’s voice in a fake kidnapping”
2NBC News, “FBI warns about deepfake porn scams”
3BBC, “Martin Lewis felt ‘sick’ seeing deepfake scam ad on Facebook”
4Dark Reading, “Researcher Tricks ChatGPT Into Building Undetectable Steganoraphy Malware”
The post AI in the Wild: Malicious Applications of Mainstream AI Tools appeared first on McAfee Blog.
Artificial intelligence used to be reserved for the population’s most brilliant scientists and isolated in the world’s top laboratories. Now, AI is available to anyone with an internet connection. Tools like ChatGPT, Voice.ai, DALL-E, and others have brought AI into daily life, but sometimes the terms used to describe their capabilities and inner workings are anything but mainstream.
Here are 10 common terms you’ll likely to hear in the same sentence as your favorite AI tool, on the nightly news, or by the water cooler. Keep this AI dictionary handy to stay informed about this popular (and sometimes controversial) topic.
AI-generated content is any piece of written, audio, or visual media that was created partially or completely by an artificial intelligence-powered tool.
If someone uses AI to create something, it doesn’t automatically mean they cheated or irresponsibly cut corners. AI is often a great place to start when creating outlines, compiling thought-starters, or seeking a new way of looking at a problem.
When your question stumps an AI, it doesn’t always admit that it doesn’t know the answer. So, instead of not giving an answer, it’ll make one up that it thinks you want to hear. This made-up answer is known as an AI hallucination.
One real-world case of a costly AI hallucination occurred in New York where a lawyer used ChatGPT to write a brief. The brief seemed complete and cited its sources, but it turns out that none of the sources existed.1 It was all a figment of the AI’s “imagination.”
To understand the term black box, imagine the AI as a system of cogs, pulleys, and conveyer belts housed within a box. In a see-through box, you can see how the input is transformed into the final product; however, some AI are referred to as a black box. That means you don’t know how the AI arrived at its conclusions. The AI completely hides its reasoning process. A black box can be a problem if you’d like to doublecheck the AI’s work.
Deepfake is the manipulation of a photo, video, or audio clip to portray events that never happened. Often used for humorous social media skits and viral posts, unsavory characters are also leveraging deepfake to spread fake news reports or scam people.
For example, people are inserting politicians into unflattering poses and photo backgrounds. Sometimes the deepfake is intended to get a laugh, but other times the deepfake creator intends to spark rumors that could lead to dissent or tarnish the reputation of the photo subject. One tip to spot a deepfake image is to look at the hands and faces of people in the background. Deepfakes often add or subtract fingers or distort facial expressions.
AI-assisted audio impersonations – which are considered deepfakes – are also rising in believability. According to McAfee’s “Beware the Artificial Imposter” report, 25% of respondents globally said that a voice scam happened either to themselves or to someone they know. Seventy-seven percent of people who were targeted by a voice scam lost money as a result.
The closer an AI’s thinking process is to the human brain, the more accurate the AI is likely to be. Deep learning involves training an AI to reason and recall information like a human, meaning that the machine can identify patterns and make predictions.
Explainable AI – or white box – is the opposite of black box AI. An explainable AI model always shows its work and how it arrived at its conclusion. Explainable AI can boost your confidence in the final output because you can doublecheck what went into the answer.
Generative AI is the type of artificial intelligence that powers many of today’s mainstream AI tools, like ChatGPT, Bard, and Craiyon. Like a sponge, generative AI soaks up huge amounts of data and recalls it to inform every answer it creates.
Machine learning is integral to AI, because it lets the AI learn and continually improve. Without explicit instructions to do so, machine learning within AI allows the AI to get smarter the more it’s used.
People must not only use AI responsibly, but the people designing and programming AI must do so responsibly, too. Technologists must ensure that the data the AI depends on is accurate and free from bias. This diligence is necessary to confirm that the AI’s output is correct and without prejudice.
Sentient is an adjective that means someone or some thing is aware of feelings, sensations, and emotions. In futuristic movies depicting AI, the characters’ world goes off the rails when the robots become sentient, or when they “feel” human-like emotions. While it makes for great Hollywood drama, today’s AI is not sentient. It doesn’t empathize or understand the true meanings of happiness, excitement, sadness, or fear.
So, even if an AI composed a short story that is so beautiful it made you cry, the AI doesn’t know that what it created was touching. It was just fulfilling a prompt and used a pattern to determine which word to choose next.
1The New York Times, “Here’s What Happens When Your Lawyer Uses ChatGPT”
The post 10 Artificial Intelligence Buzzwords You Should Know appeared first on McAfee Blog.
Happy World Social Media Day! Today’s a day about celebrating the life-long friendships you’ve made thanks to social media. Social media was invented to help users meet new people with shared interests, stay in touch, and learn more about world. Facebook, Twitter, Instagram, Reddit, TikTok, LinkedIn, and the trailblazing MySpace have all certainly succeeded in those aims.
This is the first World Social Media Day where artificial intelligence (AI) joins the party. AI has existed in many forms for decades, but it’s only recently that AI-powered apps and tools are available in the pockets and homes of just about everyone. ChatGPT, Voice.ai, DALL-E, and others are certainly fun to play with and can even speed up your workday.
While scrolling through hilarious videos and commenting on your friends’ life milestones are practically national pastimes, some people are making it their pastime to fill our favorite social media feeds with AI-generated content. Not all of it is malicious, but some AI-generated social media posts are scams.
Here are some examples of common AI-generated content that you’re likely to encounter on social media.
Have you scrolled through your video feed and come across voices that sound exactly like the current and former presidents? And are they playing video games together? Comic impersonators can be hilariously accurate with their copycatting, but the voice track to this video is spot on. This series of videos, created by TikToker Voretecks, uses AI voice generation to mimic presidential voices and pit them against each other to bring joy to their viewers.1 In this case, AI-generated voices are mostly harmless, since the videos are in jest. Context clues make it obvious that the presidents didn’t gather to hunt rogue machines together.
AI voice generation turns nefarious when it’s meant to trick people into thinking or acting a certain way. For example, an AI voiceover made it look like a candidate for Chicago mayor said something inflammatory that he never said.2 Fake news is likely to skyrocket with the fierce 2024 election on the horizon. Social media sites, especially Twitter, are an effective avenue for political saboteurs to spread their lies far and wide to discredit their opponent.
Finally, while it might not appear on your social media feed, scammers can use what you post on social media to impersonate your voice. According to McAfee’s Beware the Artificial Imposters Report, a scammer requires only three seconds of audio to clone your voice. From there, the scammer may reach out to your loved ones with extremely realistic phone calls to steal money or sensitive personal information. The report also found that of the people who lost money to an AI voice scam, 36% said they lost between $500 and $3,000.
To keep your voice out of the hands of scammers, perhaps be more mindful of the videos or audio clips you post publicly. Also, consider having a secret safe word with your friends and family that would stump any would-be scammer.
Deepfake, or the alteration of an existing photo or video of a real person that shows them doing something that never happened, is another tactic used by social media comedians and fake news spreaders alike. In the case of the former, one company founded their entire business upon deepfake. The company is most famous for its deepfakes of Tom Cruise, though it’s evolved into impersonating other celebrities, generative AI research, and translation.3
When you see videos or images on social media that seem odd, look for a disclaimer – either on the post itself or in the poster’s bio – about whether the poster used deepfake technology to create the content. A responsible social media user will alert their audiences when the content they post is AI generated.
Again, deepfake and other AI-altered images become malicious when they cause social media viewers to think or act a certain way. Fake news outlets may portray a political candidate doing something embarrassing to sway voters. Or an AI-altered image of animals in need may tug at the heartstrings of social media users and cause them to donate to a fake fundraiser. Deepfake challenges the saying “seeing is believing.”
ChatGPT is everyone’s favorite creativity booster and taskmaster for any writing chore. It is also the new best friend of social media bot accounts. Present on just about every social media platform, bot accounts spread spam, fake news, and bolster follower numbers. Bot accounts used to be easy to spot because their posts were unoriginal and poorly written. Now, with the AI-assisted creativity and excellent sentence-level composition of ChatGPT, bot accounts are sounding a lot more realistic. And the humans managing those hundreds of bot accounts can now create content more quickly than if they were writing each post themselves.
In general, be wary when anyone you don’t know comments on one of your posts or reaches out to you via direct message. If someone says you’ve won a prize but you don’t remember ever entering a contest, ignore it.
With the advent of mainstream AI, everyone should approach every social media post with skepticism. Be on the lookout for anything that seems amiss or too fantastical to be true. And before you share a news item with your following, conduct your own background research to assert that it’s true.
To protect or restore your identity should you fall for any social media scams, you can trust McAfee+. McAfee+ monitors your identity and credit to help you catch suspicious activity early. Also, you can feel secure in the $1 million in identity theft coverage and identity restoration services.
Social media is a fun way to pass the time, keep up with your friends, and learn something new. Don’t be afraid of AI on social media. Instead, laugh at the parodies, ignore and report the fake news, and enjoy social media confidently!
1Business Insider, “AI-generated audio of Joe Biden and Donald Trump trashtalking while gaming is taking over TikTok”
2The Hill, “The impending nightmare that AI poses for media, elections”
3Metaphysic, “Create generative AI video that looks real”
The post Be Mindful of These 3 AI Tricks on World Social Media Day appeared first on McAfee Blog.
