How I Use ChatGPT Image Generation in June 2025

Hey guys,

It’s been 2 months since ChatGPT image generation was released and since then we’ve generated multiple top performing ads with it. After spending countless hours playing around with the tool, here’s a few thoughts on how I’m using it for ad generation…

But first, here’s what’s I’ve come across in AI this week:

• ChatGPT dropped ‘Record’, a feature that transcribes and summarizes audio recordings like meetings, brainstorms, or voice notes.

• This guy dropped a Full 5-Hour N8N Course on X

• This guy shared a Prompt That Stops ChatGPT Hallucinating (I haven’t tried it yet, but it looks cool)

How I’m Using ChatGPT Image Generation in June 2025

Unrealistic AI visuals are working

Some of our highest performing ads so far have come from generating intentionally unrealistic visuals. I actually think this is one of the strongest use cases for image gen today.

For example, overly cracked lips for lip balm or a foot covered in flames for nerve pain cream. You could do this in Midjourney previously, but being able to add products and text natively makes it way more powerful now.

Prompting (the easy way)

I prompt in 2 different ways - the easy way and the difficult way. The easy way is just by picking a good reference ad and a really simple prompt. By a good reference ad, I don’t mean from a design perspective, but more so how easily the product slots into that design/style. I pick reference ads that I can easily slot my product shot into. Less guesswork for the model = more consistent outputs.

Prompting (the hard way)

The other way takes longer, but gives better outputs (at least from a design perspective). I typically do this when I want to make more premium looking statics (shadows, gradients, layering etc). I ask Claude to write a graphic design brief to recreate a reference ad in extreme detail, then paste the brief into GPT. If it doesn’t come out well, screenshot it, give it back to Claude and ask it to rewrite the prompt fixing the error. Keep doing this until you get exactly what you want. The prompting method I use depends on what type of ad I’m trying to create.

Always generate multiple versions

For every ad you make on GPT, open 2 more tabs and copy/paste the prompt in again to give you 3 generations in the same amount of time. Then just pick the best one. I’ve found that you can get away with 3, but 4+ at a time just slows the model down. If you generate multiple images and still can’t get it to work, go back and iterate your prompt.

Use Image Gen for product variants

This prompt lets you take an ad and generate variants for different flavors, colors, or designs in seconds. Keep everything that's working - the layout, the model, the text style - and just swap out the product-specific elements.

We've used this to create tons of iterations on winning ads for almost no extra work.

If you’re still struggling with text/labelling…

AI models aren't fully there yet with text generation/placement, and there are still some products that they flat out struggle with. So if you're running into constant issues, it may not be a prompting problem.

A quick solution if you're struggling with text (not on the product): make ads without text and add it elsewhere (Figma, Photoshop) as a temporary workaround while we wait for the models to get better.

And if you’re struggling with text on the product, think about how you can create image gen ads that don't directly involve the product.

I try to be objective about the ads we make in GPT. A lot of ads that went viral around image gen when it initially came out objectively suck - but they look cool. So, just make sure you think the ads you’re generating are actually good ads, and not just something novel :)

Announcements:

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See you next week,

Alex