The new AI text-to-image models can generate captions and understand complex prompts. Let's test how to create a quiz using various AI models such as DALL-E 3, Flux.1, Ideogram 2.0, and Google Imagen 3.0, and determine which one performs the best.
Quizzes are great fun. One question, a few answers, and you already have an engaging image for your social media audience (X, Instagram, Facebook, TikTok, and others), or for your family, kids, and friends at home or school—even in business settings. However, to create quiz boards, it's important to choose an AI model that’s best suited for this task and can properly understand complex prompts.
I will test four models that should theoretically handle quizzes well, but do they really? We’ll find out! For each model, I’ll use the same general prompt, making it easy to compare the quality of the AI-generated images.
I'll reveal upfront that there’s no perfect model. Each one makes mistakes—typos, missing or extra words or letters, duplicated phrases, misplaced punctuation, or even adding new text or extra answers. You'll have to get used to that.
Since we know that perfection doesn't exist, let’s choose a model that makes the fewest mistakes and creates visually appealing quizzes. I’ve selected a prompt for generating a quiz about dogs, which will be an excellent test of how these models perform.
Here's the prompt and the result of its execution:
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