ChatGPT Makes History: Text in Images is Solved

Introduction

Last week marked a historical moment in AI image generation. ChatGPT has solved text generation within images, and this has unlocked a number of use-cases. I’ll first go through some interesting examples, then dive into some examples I’ve seen used in businesses

To start, here’s an incredible example of how much detail the new ChatGPT Image Generation Model can handle:

Best Practices

Use the Official Site

People are having trouble with ChatGPT-4o not generating the right image and not having certain customization options

Go to sora.com to get the full feature set:

Use the Brush Tool to Make Precise Edits

Collect Visual Data

You can give it moodboards, image styles, visual guidelines, or reference images:

Understand How This Changes The Industry

Analyzing the present helps you understand where the future is headed, so you can capitalize on it before others do

Here is a list of predictions from Balaji Srinivasan:

1. This changes filters. Instagram filters required custom code; now all you need are a few keywords like “Studio Ghibli” or Dr. Seuss or South Park

2. This changes online ads. Much of the workflow of ad unit generation can now be automated, as per QT below

3. This changes memes. The baseline quality of memes should rise, because a critical threshold of reducing prompting effort to get good results has been reached

4. This may change books. I’d like to see someone take a public domain book from Project Gutenberg, feed it page by page into Claude, and have it turn it into comic book panels with the new ChatGPT. Old books may become more accessible this way

5. This changes slides. We’re now close to the point where you can generate a few reasonable AI images for any slide deck. With the right integration, there should be less bullet-point only presentations

6. This changes websites. You can now generate placeholder images in a site-specific style for any <img> tag, as a kind of visual Loren Ipsum

7. This may change movies. We could see shot-for-shot remakes of old movies in new visual styles, with dubbing just for the artistry of it. Though these might be more interesting as clips than as full movies

8. This may change social networking. Once this tech is open source and/or cheap enough to widely integrate, every upload image button will have a generate image alongside it

9. This should change image search. A generate option will likewise pop up alongside available images

10. In general, visual styles have suddenly become extremely easy to copy, even easier than frontend code. Distinction will have to come in other ways

Use Cases

Before I get into the business use-cases, here are some examples, so you can get an idea for what this is capable of

User Interface Design

It can create designs from scratch:

Copying Existing Interfaces

It can also take inspiration from existing designs to copy from, (and then you can use these designs to generate code):

Interior Design and Remodeling

Generating Points-of-View AKA Shape Rotating

You can rotate anything from logos to rooms:

Turn Sketches into High-Fidelity Wireframes

Create Derivative Works

Visualize Scenes from a Novel or Poem

Transform Minimalism to Realism

Copy Art Styles

Photographs

A security cam still from a 1980s grocery store showing Steve Jobs stealing fruit juice, frozen in mid sprint running past the soda aisle, baby blue tiled floors. Timestamp reads "08/13/86 04:44 AM", posters on wall say “NEW! TOASTER STRUDELS!”, motion blur adds chaotic energy, absurd yet intense, low-fidelity with VHS color bleed.

Video Game Artefacts and Screenshots

iMessage Stickers

Family Photos

Top Business Use-Cases for ChatGPT Image Generation

Making Ads

As I mentioned in my “decision-making with AI” article, you can