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You probably don’t use AI to generate images THAT often, BUT when you do, you probably get pretty inconsistent results no matter what text-to-image tool you use.
By the end of this post, you’ll know how to:
Long story short, image models have become so powerful that I’ve found a simple template with these four sections works pretty well:

Copy this, fill in the brackets, and attach any reference images you mention:
## Overarching concept
Create a [IMAGE TYPE] for [PURPOSE].
The main idea is [CORE IDEA].
## References
[WRITE "NONE", OR LIST EACH ATTACHED IMAGE AND WHAT TO USE FROM IT]
## Visual details
Subject: [SUBJECT AND APPEARANCE]
Layout and background: [COMPOSITION]
Style, colors and lighting: [VISUAL DIRECTION]
Important constraints: [WHAT MUST OR MUST NOT APPEAR]
## Output and finishing
Aspect ratio and resolution: [OUTPUT REQUIREMENTS]
Text: [EXACT WORDS OR "NO TEXT"]
Later edits: [WHAT I'LL CHANGE MYSELF, OR "NONE"]
To show this works across platforms, I used the same four-section prompt and the same reference images in Google Pics (available for paid Google AI users) and ChatGPT Images (free).
Look at how similar the results are:

Both put me on the right, with the three agents and speech bubbles on the left, and kept the dark blue background.
So when you switch tools, keep the same four sections and just change what’s inside them for the image you need.
Unless you’re a power user (like a creative agency who needs to generate thousands of images daily for A/B testing), the free version of ChatGPT Images is more than enough given how powerful the underlying Images 2.5 model is.
If you’re already paying for a Google AI plan, I’ve found Google Pics to be an extremely strong and no-frills alternative that produces images much faster than ChatGPT Images.
All that said, a standardized prompt template gives you more consistent results across platforms. Save these four headers and reuse them the next time you need an image!
Whenever you’re ready, here are some other ways I can help you:
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