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Learning PathsAI Image & Video CreationSee It, Prompt ItComparing Image Models Side by Side
BEGINNER
Lesson 3 of 3
FREE

Comparing Image Models Side by Side

Run one prompt on several image models, judge the results fairly, and pick a default for each job.

22 min with the exercise
~6 min read
beginner level
Module progress0 / 3 complete

Comparing Image Models Side by Side

A friend swears by one image tool. A video you watched swears by another. You try the first one, get a so-so result, and wonder whether the problem is your prompt or the tool. There is no way to tell from a single image. So you keep switching tools, rewriting prompts, and never quite learn anything.

The fix is simple: run the same prompt on more than one model at the same time and look at the results next to each other. When the prompt is held steady, the differences you see come from the models. After a few rounds, you stop guessing which tool is "best" and start knowing which one is best for the kind of image you make most.

This is exactly what the Playground's compare mode is for.

Why models give different results

Every image model was built by a different team, trained on its own collection of images and descriptions, and tuned with its own priorities. So each one develops its own habits: a typical look, things it handles well, and things it tends to get wrong.

In practice, that means:

  • One model may follow a long, detailed prompt more closely, while another drifts toward its own idea of a good picture.
  • Models have default styles. One may lean polished and glossy; another may look more natural. You will start to recognize these the way you recognize a photographer's style.
  • Strengths vary by subject. A model that is great at photographic scenes may be weaker at flat illustrations, or the reverse.
  • Speed and detail trade off. Faster variants are handy for exploring ideas. Higher-quality variants are worth it when you are making the final image.

In the Playground, the image models include Google's Gemini image models, in a fast variant and a higher-quality variant, and FLUX 1.1 Pro and FLUX 1.1 Pro Ultra from Black Forest Labs. Rather than taking anyone's word for which is better, you will test them on your own work.

How to run a fair comparison

A comparison only teaches you something if it is fair. Three rules:

1. Same prompt, word for word. If you tweak the wording for one model, you are comparing prompts, not models. Compare mode handles this for you by sending one prompt to every model you pick.

2. Decide what you need before you look. Once you see the images, it is easy to fall for the prettiest one even if it is wrong for the job. Write a short checklist first.

3. Run it more than once. Each run builds a new image, so any single result could be a lucky or unlucky one. If two models are close, run the comparison again before deciding.

How to judge the results

Use the same checklist every time. Five questions cover most jobs:

QuestionWhat to look for
Did it follow the prompt?Is every part you asked for there? Anything you told it to avoid that showed up anyway?
Does the style fit the job?Would this look right where it is going: a post, a worksheet, a slide?
Any artifacts?Warped hands, melted objects, odd shadows, extra limbs, strange edges. Zoom in.
How is any text?If you asked for words, are they spelled right? If you asked for none, did stray letters appear?
Is it consistent?If you run it again, does the model stay close to the same look, or swing wildly?

Score each model on your checklist rather than on overall impressions. "Model B followed all seven lines of my prompt and Model A ignored the color palette" is a finding you can use next week. "I liked B better" is not.

Worked example: a teacher's worksheet illustrations

Ms. Okafor teaches fourth grade and makes her own reading worksheets. Each one needs a small illustration at the top, and she wants them to look like they belong to the same set. Her checklist, written before she ran anything:

  • Friendly, simple illustration a nine-year-old would like
  • Clean white background so it prints well
  • Nothing scary, nothing cluttered
  • No text in the image
  • Similar look across different subjects

Her prompt:

A curious red fox reading a book under a tree.
Style: simple children's book illustration, soft rounded shapes,
thin outlines, flat colors.
Composition: single subject centered, plain white background.
Mood: friendly and calm.
Colors: warm orange, soft green, light brown.
Avoid: no text, no letters, no busy background.

She ran it in compare mode on three models. One gave a gorgeous, detailed painting with a full forest background: beautiful, but it failed "plain white background" and would waste printer ink. One nailed the style and background but put scribbled letters on the book cover. One followed the prompt closely, with a clean background and no text.

Then she tested consistency. She swapped "a curious red fox" for "a sleepy owl" and ran the comparison again. The model that followed the prompt closely also kept the same look for the owl, which was exactly what her worksheet set needed. That became her default model for worksheet art. For a colorful poster for her classroom door, where a rich, detailed background is welcome, she might choose differently, and that is the point.

Pick a default model per use case

You do not need to run a comparison every time you want an image. Run them to learn, then settle on defaults:

  • Worksheet illustrations: the model that stays consistent and follows "plain background."
  • Social post backgrounds: the model whose look best fits your brand.
  • Quick brainstorming: a fast variant, so you can try more ideas.
  • Final images for something important: a higher-quality variant.

Write your defaults down. Revisit them now and then, especially when your needs change or new models appear in the Playground.

Using compare mode in the Playground

  1. Open the Playground and choose compare mode. Select two or three image models to run side by side.
  2. Paste your prompt once. It runs on every model you selected.
  3. Check each result against your checklist, not just your first impression. Zoom in on hands, edges, and any lettering.
  4. Favorite the winners. Every result saves to your Library automatically, so you can come back and compare later. Favoriting makes the good ones easy to find.
  5. Share if you want to. You can optionally share a result to the public Gallery. It is off unless you choose it.

Comparisons use images from your monthly allowance (the free plan includes 30 images a month), so plan a few focused comparisons rather than many random ones.

Try this

Give yourself 10 to 15 minutes in the Playground.

  1. Pick one kind of image you make often: post graphics, slide backgrounds, illustrations, product mood shots.
  2. Before running anything, write a checklist of four or five things the image must do.
  3. Write one prompt using the building blocks from the last lesson. Use this if you want a starting point:
[SUBJECT], [SETTING].
Style: [STYLE OR MEDIUM].
Composition: [FRAMING], [BACKGROUND].
Mood: [MOOD].
Colors: [COLOR PALETTE].
Avoid: [WHAT SHOULD NOT APPEAR].
  1. Run it in compare mode on two or three models.
  2. Score each result against your checklist, one line per model.
  3. Change only the subject, keeping every other line the same, and run the comparison again to test consistency.
  4. Favorite the best result and write down your default model for this kind of image, with one sentence explaining why.

What to remember

  • Models differ because each was trained and tuned differently, so each has its own look, strengths, and weak spots.
  • A fair comparison uses the exact same prompt and a checklist you wrote before looking.
  • Judge on prompt-following, style fit, artifacts, text, and consistency, not just which image is prettiest.
  • Run a close comparison more than once, since every run builds a new image.
  • Pick a default model per use case, write it down, and revisit it when your needs change.

In this module

See It, Prompt It

1.
How AI Images Are Made (and What They're Good For)
22 min
2.
Writing Image Prompts That Work
22 min
3.
Comparing Image Models Side by Side
22 min

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