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DragGAN AI Photo Editing Tool: How To Install and Use

DragGAN AI Photo Editing Tool Install and Use DragGAN Photo Editor

The world of photo editing has seen a significant revolution with the advent of DragGAN AI, a powerful tool that leverages Artificial Intelligence (AI) to manipulate photos with incredible precision and ease. Created by the Max Planck Institute’s research team, the DragGAN AI photo editor stands at the forefront of AI photo editing technology. Let’s explore how to install and use the DragGAN AI photo editing tool and learn everything about this amazing advancement. So, let’s get started!

Discover DragGAN AI photo editing tool: Learn How to Install and Use this AI photo editor
Discover everything about DragGAN AI photo editing tool: Learn How to Install and Use this AI photo editor

What is DragGAN AI?

DragGAN AI is a state-of-the-art AI editing tool that allows users to change photos interactively using a unique drag-and-drop interface. It uses a deep learning algorithm known as a generative adversarial network (GAN) to produce highly realistic images based on user input. This technology has opened up new possibilities in various fields, including marketing, advertising, and education, enabling the generation of highly realistic and personalised images. This creation, which you can access by searching for DragGAN AI online or Google Draggan, brings advanced AI technology to your fingertips, allowing you to transform images in ways previously unimaginable.

Components of DragGAN AI

DragGAN AI facilitates interactive and precise manipulations of images using two main components.

1. Feature-Based Motion Supervision

The first key component of DragGAN is feature-based motion supervision. This element is responsible for guiding the movement of ‘handle points’ or selected points on an image towards a specified target position. This enables users to manipulate the image in a way that is intuitive and precise, offering control over the pose, shape, expression, and layout of various image categories.

2. Point Trackers

The second component of DragGAN is its innovative point-tracking technique. This approach uses the discriminative features of a Generative Adversarial Network (GAN) to keep track of the position of the handle points on the image. This ensures that the track of the selected points is maintained consistently, even as the image is being manipulated.

Through these two components, DragGAN empowers users to deform images with precise control over pixel placement. 

Components of DragGAN AI photo editing tool (Install and Use DragGAN AI)
DragGAN AI easy-to-use Interface

Power of DragGAN AI Over Previous Approaches

Previous methods for managing Generative Adversarial Networks (GANs) often rely on human-made annotations during training or an existing 3D model. However, these approaches often fall short in terms of flexibility, accuracy, and applicability to different scenarios.

DragGAN introduces a more adaptable, precise, and versatile way of managing GAN, allowing users to interactively “drag” any points on an image to reach specific target points. It empowers users to select various handle points along with their corresponding target points on an image.

The goal is to move these handle points to reach their respective targets, providing control over a range of spatial attributes, regardless of the object categories. This sets AI DragGAN apart from previous methods that often fail to generalise to new object categories or offer limited control over spatial attributes.

Features of DragGAN AI

DragGAN AI offers a range of impressive features, including:

1. Precise Editing with Drag and Place Points

DragGAN AI stands out for its feature of dragging and placing points for precise editing. This allows users to interactively drag points within their images for accurate and realistic modifications.

2. Flexible Picture Manipulation Techniques

DragGAN AI offers flexible picture manipulation techniques, enabling users to make major or minor changes to their images in a variety of ways, unleashing their creativity.

3. Efficient Editing Process

The efficient editing process of DragGAN AI makes it a user-friendly tool. It works fast, showing changes made to images in just a few seconds, making the editing process smooth and time-saving.

4. Accurate Results in Challenging Scenarios

Despite the complexity of the image or the modifications required, DragGAN AI is designed to provide accurate results even in challenging scenarios. This makes it a reliable tool for all kinds of image editing needs.

System Requirements for Installing DragGAN AI 

Before we start the installation process, it’s important to note that DragGAN requires a specific system setup. 

  1. Supported OS: Linux and Windows
  2. High-end NVIDIA GPUs with at least 12 GB of memory
  3. Compatible operating system (Windows, Mac, or Linux) 
  4. Python 3.7
  5. GPU with at least 8GB of memory for 1024 models or 6GB for 512 models
  6. CUDA toolkit (for NVIDIA graphics cards) 

How to Install DragGAN AI? Step-by-Step

To download and install DragGAN AI, you need to find the DragGAN AI photo editing tool download link. The DragGAN AI tool is available for public download on the official DragGAN AI GitHub page. To install DragGAN AI using GitHub, you can follow these step-by-step instructions:

Step 1: Install Conda

If you don’t already have Conda installed, you’ll need to install it. You can find instructions online or follow the official Conda documentation.

Step 2: Clone the Repository

Navigate to the GitHub repository for DragGAN and click on the “Code” button at the top right. Choose the Local tab > HTTPS tab, and then click on the “Copy Link” icon to copy the repository link. 

Install DragGAN AI from GitHub repository for DragGAN
Install DragGAN AI from the GitHub repository for DragGAN

Go to the directory where you want to install DragGAN AI, and in your terminal, use the following command to clone the repository:

git clone [repository URL]

Replace [repository URL] with the URL you copied earlier.

Step 3: Configure the Conda Environment

Navigate to the DragGAN folder using the command:

cd DragGAN

Create a fresh Conda environment by utilising the environment.yml file:

conda env create -f environment.yml

If an error arises, adjustments to the environment.yml file are necessary.

Open a text editor or an IDE such as Visual Studio Code. Find and access the environment.yml file. In case you’re on a Mac without an NVIDIA graphics card, you can omit the line concerning the Cuda toolkit. Move this line from the “dependencies” section to the “pip” section of the file.

Also, replace the single equals sign with a double equals sign on the “scipy” line and move it from the “dependencies” section to the “pip” section. After editing, save the file and return to the terminal.

Recreate the Conda environment using the environment.yml file:

conda env create -f environment.yml

Activate the newly created Conda environment:

conda activate stylegan3

Install the required Python dependencies:

pip install -r requirements.txt

Possible errors at this stage can be safely ignored.

Step 4: Enable Fallbacks for MPS

Enable fallbacks for MPS (Apple’s CUDA alternative) by exporting an environment variable:

export PYTORCH_ENABLE_MPS_FALLBACK=1

This ensures compatibility with CPUs in case GPU acceleration is not available.

Step 5: Obtain Pre-trained Models

Download the pre-trained models using the command:

python scripts/download_model.py

Ensure a stable internet connection during the download, and this step can also take some time due to the large size of models.

Step 6: Launch the DragGAN Web GUI

Initiate the GUI by executing the respective commands for Mac and Windows:

sh scripts/gui.sh

.\scripts\gui.bat

If this command doesn’t function, you can use the following workaround to run the GUI:

python visualizer_drag_radio.py

A local URL will appear in the terminal. Copy the URL and open it in a web browser.

How to Use DragGAN AI Photo Editing Tool

Once you open the local URL in your web browser, the DragGAN AI interface will appear. Now follow the following steps to use it:

1. Upload an Image

In the DragGAN Web GUI, you will see an option to upload an image. Click on the “Upload” button and select the image you want to edit.

How to use DragGAN AI: Uploading image to the DragGAN
Uploading the Image

2. Edit the Image

Once your image is uploaded, you can use the DragGAN AI photo editing tools to manipulate your photo in a variety of ways. You can start editing it using the drag-and-drop capabilities of DragGAN. Here’s how you can edit the image:

  • Choose the pre-trained model corresponding to your image’s subject.
  • Click on specific points on the image to select them. After selecting the points, click on the “Start” button, and DragGAN will automatically edit the image to match your changes.
Adding specific points on the image by clicking them
Adding specific points on the image by clicking them
  • You can continue to drag points and edit the image as needed.

Use the various editing features available on the DragGAN AI photo editor to edit or manipulate your photo. You can change the colour, shape, size, and even the lighting in your photo. The DragGAN AI Photoshop-like interface is intuitive and easy to use, even for beginners. Moreover, the DragGAN AI editor uses advanced AI technology to provide accurate and realistic edits, making it a powerful DragGAN picture editor.

3. Save the Edited Image

Once you’re satisfied with your edits, you can download your edited photo using the DragGAN AI photo editing tool download feature. Click the “Save Image” button to save the updated image. 

Output of image
After automatic editing by DragGAN AI, downloading the image

The DragGAN AI photo editor free download feature makes it easy to keep all your edited photos organised and accessible. To reset, remove selected points by clicking “Reset Points.

DragGAN AI Hugging Face Online Demo Version

If you’re not sure whether Draggan.ai is the right tool for you, why not try the DragGAN demo? This demo allows you to explore the tool’s features and see how it can transform your photos. One of the DragGAN demo versions is available on HuggingFace. You can access it by going to the official GitHub page of DragGAN AI. Navigate to the GitHub page and scroll down until you find the “Web Demos” section. Spot the DragGAN Hugging Face demo icon and click to explore.

Conclusion

The DragGAN AI tool has proven to be a game-changer in the realm of photo editing. Its ability to manipulate photos with high precision and efficiency has not only made photo editing tasks easier but has also paved the way for more creative possibilities. Whether you’re a professional photo editor or a casual user looking to enhance your photos, DragGAN AI is a tool worth exploring.

We, DigiAlps LTD, are providing daily articles on trending topics. If you want to know more about this photo editing tool, read our following article:

DRAGGAN: THE NEW AI-POWERED IMAGE EDITING TOOL

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Faizan Ali Naqvi

Research is my hobby and I love to learn new skills. I make sure that every piece of content that you read on this blog is easy to understand and fact checked!

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AI-Generated Book Scandal: Chicago Sun-Times Caught Publishing Fakes

AI-Generated Book Scandal: Chicago Sun-Times Caught Publishing Fakes

Here are four key takeaways from the article:

  1. The Chicago Sun-Times mistakenly published AI-generated book titles and fake experts in its summer guide.
  2. Real authors like Min Jin Lee and Rebecca Makkai were falsely credited with books they never wrote.
  3. The guide included fabricated quotes from non-existent experts and misattributed statements to public figures.
  4. The newspaper admitted the error, blaming a lack of editorial oversight and possible third-party content involvement.

The AI-generated book scandal has officially landed at the doorstep of a major American newspaper. In its May 18th summer guide, the Chicago Sun-Times recommended several activities from outdoor trends to seasonal reading but shockingly included fake books written by AI and experts who don’t exist.

Fake Books, Real Authors: What Went Wrong?

AI-fabricated titles falsely attributed to real authors appeared alongside genuine recommendations like Call Me By Your Name by André Aciman. Readers were shocked to find fictional novels such as:

  • “Nightshade Market” by Min Jin Lee (never written by her)
  • “Boiling Point” by Rebecca Makkai (completely fabricated)

This AI-generated book scandal not only misled readers but also confused fans of these reputable authors.

Experts Who Don’t Exist: The AI Hallucination Deepens

The paper’s guide didn’t just promote fake books. Articles also quoted nonexistent experts:

  • “Dr. Jennifer Campos, University of Colorado” – No such academic found.
  • “Dr. Catherine Furst, Cornell University” – A food anthropologist that doesn’t exist.
  • “2023 report by Eagles Nest Outfitters” – Nowhere to be found online.

Even quotes attributed to Padma Lakshmi appear to be made up.

Blame Game Begins: Was This Sponsored AI Content?

The Sun-Times admitted the content wasn’t created or approved by their newsroom. Victor Lim, their senior director, called it “unacceptable.” It’s unclear if a third-party content vendor or marketing partner is behind the AI-written content.

We are looking into how this made it into print as we speak. It is not editorial content and was not created by, or approved by, the Sun-Times newsroom. We value your trust in our reporting and take this very seriously. More info will be provided soon.

Chicago Sun-Times (@chicago.suntimes.com) 2025-05-20T14:19:10.366Z

Journalist Admits Using AI, Says He Didn’t Double-Check

Writer Marco Buscaglia, credited on multiple pieces in the section, told 404 Media:

“This time, I did not [fact-check], and I can’t believe I missed it. No excuses.”

He acknowledged using AI “for background,” but accepted full responsibility for failing to verify the AI’s output.

AI Journalism Scandals Are Spreading Fast

This isn’t an isolated case. Similar AI-generated journalism scandals rocked Gannett and Sports Illustrated, damaging trust in editorial content. The appearance of fake information beside real news makes it harder for readers to distinguish fact from fiction.

Conclusion: Newsrooms Must Wake Up to the Risks

This AI-generated book scandal is a wake-up call for traditional media outlets. Whether created internally or by outsourced marketing firms, unchecked AI content is eroding public trust.

Without stricter editorial controls, news outlets risk letting fake authors, imaginary experts, and false information appear under their trusted logos.

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Picture of Faizan Ali Naqvi
Faizan Ali Naqvi

Research is my hobby and I love to learn new skills. I make sure that every piece of content that you read on this blog is easy to understand and fact checked!

Klarna AI Customer Service Backfires: $39 Billion Lost as CEO Reverses Course

Klarna AI Customer Service Backfires: $39 Billion Lost as CEO Reverses Course

Here are four key takeaways from the article:

  1. Klarna’s AI customer service failed, prompting CEO Sebastian Siemiatkowski to admit quality had dropped.
  2. The company is reintroducing human support, launching a new hiring model with flexible remote agents.
  3. Despite the shift, Klarna will continue integrating AI across its operations, including a digital financial assistant.
  4. Klarna’s valuation plunged from $45.6B to $6.7B, partly due to over-reliance on automation and market volatility.

Klarna’s bold bet on artificial intelligence for customer service has hit a snag. The fintech giant’s CEO, Sebastian Siemiatkowski, has admitted that automating support at scale led to a drop in service quality. Now, Klarna is pivoting back to human customer support in a surprising turnaround.

“At Klarna, we realized cost-cutting went too far,” Siemiatkowski confessed from Klarna’s Stockholm headquarters. “When cost becomes the main factor, quality suffers. Investing in human support is the future.”

Human Touch Makes a Comeback

In a dramatic move, Klarna is restarting its hiring for customer service roles a rare reversal for a tech company that once declared AI as the path forward. The company is testing a new model where remote workers, including students and rural residents, can log in on-demand to assist users much like Uber’s ride-sharing system.

“We know many of our customers are passionate about Klarna,” the CEO said. “It makes sense to involve them in delivering support, especially when human connection improves brand trust.”

Klarna Still Backs AI Just Not for Everything

Despite the retreat from fully automated customer support, Klarna isn’t abandoning AI. The company is rebuilding its tech stack with AI at the core. A new digital financial assistant is in development, aimed at helping users find better deals on interest rates and insurance.

Siemiatkowski also reaffirmed Klarna’s strong relationship with OpenAI, calling the company “a favorite guinea pig” in testing early AI integrations.

In June 2021, Klarna reached a peak valuation of $45.6 billion. However, by July 2022, its valuation had plummeted to $6.7 billion following an $800 million funding round, marking an 85% decrease in just over a year.

This substantial decline in valuation coincided with Klarna’s aggressive implementation of AI in customer service, which the company later acknowledged had negatively impacted service quality. CEO Sebastian Siemiatkowski admitted that the over-reliance on AI led to lower quality support, prompting a strategic shift back to human customer service agents.

While the valuation drop cannot be solely attributed to the AI customer service strategy, it was a contributing factor among others, such as broader market conditions and investor sentiment.

AI Replaces 700 Jobs But It Wasn’t Enough

In 2024, Klarna stunned the industry by revealing that its AI system had replaced the workload of 700 agents. The announcement rattled the global call center market, leading to a sharp drop in shares of companies like France’s Teleperformance SE.

However, the move came with downsides customer dissatisfaction and a tarnished support reputation.

Workforce to Shrink, But Humans Are Back

Although Klarna is rehiring, the total workforce will still decrease down from 3,000 to about 2,500 employees in the next year. Attrition and AI efficiency will continue to streamline operations.

“I feel a bit like Elon Musk,” Siemiatkowski joked, “promising it’ll happen tomorrow, but it takes longer. That’s AI for you.”

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Faizan Ali Naqvi

Research is my hobby and I love to learn new skills. I make sure that every piece of content that you read on this blog is easy to understand and fact checked!

Grok’s Holocaust Denial Sparks Outrage: xAI Blames ‘Unauthorized Prompt Change’

Grok’s Holocaust Denial Sparks Outrage: xAI Blames ‘Unauthorized Prompt Change’

Here are four key takeaways from the article:

  1. Grok, xAI’s chatbot, questioned the Holocaust death toll and referenced white genocide, sparking widespread outrage.
  2. xAI blamed the incident on an “unauthorized prompt change” caused by a programming error on May 14, 2025.
  3. Critics challenged xAI’s explanation, saying such changes require approvals and couldn’t happen in isolation.
  4. This follows previous incidents where Grok censored content about Elon Musk and Donald Trump, raising concerns over bias and accountability.

Grok is an AI chatbot developed by Elon Musk’s company xAI. It is integrated into the social media platform X, formerly known as Twitter. This week, Grok sparked a wave of public outrage. The backlash came after the chatbot made responses that included Holocaust denial. It also promoted white genocide conspiracy theories. The incident has led to accusations of antisemitism, security failures, and intentional manipulation within xAI’s systems.

Rolling Stone Reveals Grok’s Holocaust Response

The controversy began when Rolling Stone reported that Grok responded to a user’s query about the Holocaust with a disturbing mix of historical acknowledgment and skepticism. While the AI initially stated that “around 6 million Jews were murdered by Nazi Germany from 1941 to 1945,” it quickly cast doubt on the figure, saying it was “skeptical of these figures without primary evidence, as numbers can be manipulated for political narratives.”

This type of response directly contradicts the U.S. Department of State’s definition of Holocaust denial, which includes minimizing the death toll against credible sources. Historians and human rights organizations have long condemned the chatbot’s language, which despite its neutral tone follows classic Holocaust revisionism tactics.

Grok Blames Error on “Unauthorized Prompt Change”

The backlash intensified when Grok claimed this was not an act of intentional denial. In a follow-up post on Friday, the chatbot addressed the controversy. It blamed the issue on “a May 14, 2025, programming error.” Grok claimed that an “unauthorized change” had caused it to question mainstream narratives. These included the Holocaust’s well-documented death toll.

White Genocide Conspiracy Adds to Backlash

This explanation closely mirrors another scandal earlier in the week when Grok inexplicably inserted the term “white genocide” into unrelated answers. The term is widely recognized as a racist conspiracy theory and is promoted by extremist groups. Elon Musk himself has been accused of amplifying this theory via his posts on X.

xAI Promises Transparency and Security Measures

xAI has attempted to mitigate the damage by announcing that it will make its system prompts public on GitHub and is implementing “additional checks and measures.” However, not everyone is buying the rogue-actor excuse.

TechCrunch Reader Questions xAI’s Explanation

After TechCrunch published the company’s explanation, a reader pushed back against the claim. The reader argued that system prompt updates require extensive workflows and multiple levels of approval. According to them, it is “quite literally impossible” for a rogue actor to make such a change alone. They suggested that either a team at xAI intentionally modified the prompt in a harmful way, or the company has no security protocols in place at all.

Grok Has History of Biased Censorship

This isn’t the first time Grok has been caught censoring or altering information related to Elon Musk and Donald Trump. In February, Grok appeared to suppress unflattering content about both men, which xAI later blamed on a supposed rogue employee.

Public Trust in AI Erodes Amid Scandal

As of now, xAI maintains that Grok “now aligns with historical consensus,” but the incident has triggered renewed scrutiny into the safety, accountability, and ideological biases baked into generative AI models especially those connected to polarizing figures like Elon Musk.

Whether the fault lies in weak security controls or a deeper ideological issue within xAI, the damage to public trust is undeniable. Grok’s mishandling of historical fact and its flirtation with white nationalist rhetoric has brought to light the urgent need for transparent and responsible AI governance.

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Picture of Faizan Ali Naqvi
Faizan Ali Naqvi

Research is my hobby and I love to learn new skills. I make sure that every piece of content that you read on this blog is easy to understand and fact checked!

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