Created with 4o

OpenAI has released a pretty amazing feature: 4o image generation. Honestly, when I first read their announcement, I wasn’t all that excited, because let’s be honest, during this AI summer, not too many AI news updates give us goosebumps anymore.

But when I tried this feature, I was genuinely amazed once again. Let’s explore this new feature with 5 incredible use cases — and by the end, I can assure you of one thing: you’ll be surprised too!

Created with 4o Image Generation

Change Style of Any Image with a Simple Prompt

Here is the image I am going to use. Let’s re-style it.

Landscape- Bodrum/Mugla Image by Author

Here is the prompt that I am using with this image

Turn this image into an oil painting.

Here is the output.

Landscape- Bodrum/Mugla

Good, let’s edit it one more time with the prompt below.

Can you add moon and stars to it?

Here is the output.

Landscape- Bodrum/Mugla Image by Author

Turn Your Data Into Infographics Instantly

Let’s create an infographic using the text below:

A sleek, modern infographic showcasing the Journey of Data Science: From Raw Data to Real Impact. The layout is horizontal with a clean timeline or pipeline across the middle. Each stage is represented by a realistic, stylized icon or silhouette, with the stage name and a one-liner explanation beneath.

🧩 Featured Stages (Left to Right):
Data Collection – Gathering raw data from databases, APIs, or files
(Icon: cloud + download arrow)

Data Cleaning – Fixing missing values, errors, and inconsistencies
(Icon: broom + warning sign)

Data Exploration – Understanding the data with summaries and visual checks
(Icon: magnifying glass + bar chart)

Data Visualization – Creating charts to reveal insights
(Icon: pie chart + line graph)

Feature Engineering – Crafting useful variables to improve models
(Icon: sliders + gear wheel)

Model Training – Teaching algorithms to recognize patterns
(Icon: chip + upward graph)

Model Evaluation – Testing how well the model performs
(Icon: checklist + accuracy meter)

Prediction & Deployment – Using the model in real-world apps
(Icon: rocket + dashboard screen)

🧠 Popular Algorithms Section (with Icons):
Linear Regression

Decision Trees

K-Means Clustering

Random Forest

Neural Networks

🌍 Applications Grid (Examples by Field):
Healthcare – Predicting diseases

Finance – Fraud detection

Marketing – Customer segmentation

Retail – Product recommendations

Sports – Performance analysis

🧠 Fun Fact Box (Bottom Corner):
"Data Science" became a buzzword after 2012, but its roots go back to the 1960s.

💡 Header at the Top:
"From Chaos to Clarity: The Journey of Data Science"

Subheader:
“How raw data transforms into powerful predictions.”

Here is the output.

SS of the output

Let’s create another one!

Here is the Infographic title I want you to create: Machine Learning at a Glance: From Data to Prediction

Here are the sections;

Sections (Visual Flow from Top to Bottom):
 1. Title + Eye-Catching Icon (e.g., robot + chart)
 • Short tagline: “How machines learn from data to make decisions”
 2. Step-by-Step Flowchart
 • 1. Data Collection – Icons: database/cloud
 • 2. Data Cleaning – Icons: broom/checklist
 • 3. Feature Engineering – Icons: sliders/gears
 • 4. Model Training – Icons: chip/graph
 • 5. Model Evaluation – Icons: bar chart/accuracy meter
 • 6. Prediction – Icons: crystal ball/lightning bolt
 3. Common Algorithms (Simple Icons with Labels)
 • Linear Regression
 • Decision Trees
 • Random Forest
 • SVM
 • KNN
 • Neural Networks
 4. Real-Life Applications Grid
 • Healthcare – Disease prediction
 • Finance – Fraud detection
 • Retail – Recommendation engines
 • Marketing – Customer segmentation
 5. Fun Fact Box (Bottom Corner)
 • “The term Machine Learning was first coined in 1959 by Arthur Samuel.”
 6. CTA (optional if used online)
 • “Want to explore more? Follow for ML tips and tutorials.

Here is the infographic that 4o generates for us.

SS of the output

Resize Any Image with One Prompt

This one is easier. Just write the new size of your image and voila!

Make it 16:9

Here is the output.

Landscape- Bodrum/Mugla — Image by Author

Bring Sketches to Life!

Reference

Now, let’s turn this image into a live image. Attach this image and add this prompt;

Turn this image into an actual human image.

Here is the output.

SS of the output

Let’s make it cat paws!:)

SS of the output

Good, use this prompt after it;

Let's see cat too while making this.

SS of the output

Generate Memes That Actually Make Sense (and Go Viral)

SS of Meme

Now let’s generate a meme. Here is my idea;

Image: Distracted Boyfriend meme
 Caption:
 Boyfriend: Data Scientist
 Girlfriend: Clean training data
 Other woman: Real-world data

I used this prompt and sent it to ChatGPT, and you used the output at the beginning of this section already.

Let’s create another one.

Expectation vs. Reality”
Image split in two:
Left: A person in a lab coat with equations flying around (Expectation)
Right: A person fixing a CSV encoding issue at 3 a.m. (Reality)
Caption: "Becoming a Data Scientist"

Here is the output.

SS of the ChatGPT

Final Thoughts

In this one, we have discovered 5 different methods you can integrate to your daily routine tasks. GPT 4o is really incredible in photo editing. I believe in the future AI also will change the photo editing industry too.

If you want to follow up these kind of news and get a head of your time, you can becomen a subscriber to us in our platform, where you’ll have AI projects, assistants and AI news to keep track everything ,see you there.

Here are the free resources.

Here is the ChatGPT cheat sheet.

Here is the Prompt Techniques cheat sheet.

Here is my NumPy cheat sheet.

Here is the source code of the “How to be a Billionaire” data project.

Here is the source code of the “Classification Task with 6 Different Algorithms using Python” data project.

Here is the source code of the “Decision Tree in Energy Efficiency Analysis” data project.

Here is the source code of the “DataDrivenInvestor 2022 Articles Analysis” data project.

“Machine learning is the last invention that humanity will ever need to make.” Nick Bostrom